From f88fd7d91217369de26ac07476a36aa9cec23ff0 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Tue, 28 Oct 2025 12:58:55 +0100 Subject: [PATCH 01/13] [DOCS] time series modular refactoring --- .../docs/index.md | 52 +++++++++++++++++ .../docs/user-guide/index.rst | 53 ------------------ .../_images/anomaly_detection_weld.png | Bin .../_images/anomaly_power_prediction.png | Bin .../user-guide/_images/dashboard.png | Bin .../user-guide/_images/emf_deployment.png | Bin .../user-guide/_images/list_all_dashboard.png | Bin .../user-guide/_images/login_wt.png | Bin .../_images/system_metrics_dashboard.png | Bin .../time-series-ai-stack-architecture.png | Bin .../_images/weld_anomaly_detection.png | Bin .../_images/wind_turbine_dashboard.png | Bin .../user-guide/get-started.md | 0 .../user-guide/how-it-works.md | 0 .../user-guide/how-to-build-from-source.md | 0 .../user-guide/how-to-configure-alerts.md | 0 .../user-guide/how-to-configure-custom-udf.md | 0 .../how-to-connect-to-secure-mqtt-broker.md | 6 +- .../how-to-create-a-new-sample-app.md | 0 .../user-guide/how-to-deploy-with-helm.md | 0 .../how-to-enable-system-metrics.md | 0 .../user-guide/how-to-update-config.md | 0 .../user-guide/release_notes.md | 0 .../user-guide/system-requirements.md | 0 24 files changed, 55 insertions(+), 56 deletions(-) create mode 100644 manufacturing-ai-suite/industrial-edge-insights-time-series/docs/index.md delete mode 100644 manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.rst rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{ => wind-turbine-anomaly}/user-guide/_images/anomaly_detection_weld.png (100%) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{ => wind-turbine-anomaly}/user-guide/_images/anomaly_power_prediction.png (100%) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{ => wind-turbine-anomaly}/user-guide/_images/dashboard.png (100%) 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manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{ => wind-turbine-anomaly}/user-guide/how-to-create-a-new-sample-app.md (100%) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{ => wind-turbine-anomaly}/user-guide/how-to-deploy-with-helm.md (100%) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{ => wind-turbine-anomaly}/user-guide/how-to-enable-system-metrics.md (100%) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{ => wind-turbine-anomaly}/user-guide/how-to-update-config.md (100%) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{ => wind-turbine-anomaly}/user-guide/release_notes.md (100%) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{ => wind-turbine-anomaly}/user-guide/system-requirements.md (100%) diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/index.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/index.md new file mode 100644 index 000000000..4008acaca --- /dev/null +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/index.md @@ -0,0 +1,52 @@ +# Industrial Edge Insights - Time Series + +Time Series predictive maintenance apps allow for detecting anomalous patterns across time, +such as power generation patterns relative to wind speed for the wind turbines. + +In the Energy Sector unexpected equipment failures result in costly downtime and operational +inefficiencies. Using AI-driven predictive analytics, edge devices can monitor equipment +health through sensor data (for example, power output) detect anomalous trends indicative +of wear or failure, and alert operators to schedule maintenance proactively. +This enhances productivity, reduces costs, and extends equipment lifespan. + +[Wind turbine anomaly detection](./wind-turbine-anomaly/user-guide/get-started.md) sample app +demonstrates a time series use case by detecting anomalous power generation patterns +in wind turbines, relative to wind speed. By identifying deviations, it helps +optimize maintenance schedules and prevent potential turbine failures, enhancing +operational efficiency. + +**Weld Anomaly Detection** sample app demonstrates a time series use case by maintaining weld quality, critical for safety and reliability in manufacturing, to prevent failures, hazards, and unplanned downtime. AI-driven analytics allows for detecting anomalous weld patterns and alerting operators for timely intervention. + + + + \ No newline at end of file diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.rst b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.rst deleted file mode 100644 index df957e538..000000000 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.rst +++ /dev/null @@ -1,53 +0,0 @@ -Industrial Edge Insights – Time Series -====================================== - -Industrial Edge Insights – Time Series sample apps provides AI-powered, real-time monitoring for anomaly detection in industrial environments. These sample applications showcase how advanced analytics at the edge can drive operational efficiency, reduce downtime, and improve safety. - -Overview --------- - -The suite includes two sample applications, each leveraging a common architecture with configurations tailored to specific industrial scenarios: - -- **Wind Turbine Anomaly Detection** -- **Weld Anomaly Detection** - -Wind Turbine Anomaly Detection ------------------------------- - -In the Energy Sector, such as wind turbines for power generation, unexpected equipment -failures result in costly downtime and operational inefficiencies. Using AI-driven -predictive analytics, edge devices can monitor equipment health through sensor data -(For example, power generation and wind speed), detect anomalous trends indicative of -wear or failure, and alert operators to schedule maintenance proactively. This enhances -productivity, reduces costs, and extends equipment lifespan. - -This sample application demonstrates a time series use case by detecting the anomalous -power generation patterns relative to wind speed. By identifying deviations, it helps -optimize maintenance schedules and prevent potential turbine failures, enhancing -operational efficiency. - -Weld Anomaly Detection ----------------------- - -Maintaining weld quality is critical for safety and reliability in manufacturing. -Unexpected weld defects or process deviations can result in failures, hazards, and -unplanned downtime. Leveraging AI-driven analytics, edge devices monitor weld sensor data -to detect anomalous weld patterns and alert operators for timely intervention. -This enables proactive maintenance, improves safety, and increases operational efficiency. - - -.. toctree:: - :hidden: - - how-it-works - system-requirements - get-started - how-to-build-from-source - how-to-deploy-with-helm - how-to-configure-custom-udf - how-to-configure-alerts - how-to-enable-system-metrics - how-to-update-config - how-to-create-a-new-sample-app - how-to-connect-to-secure-mqtt-broker - release_notes diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/_images/anomaly_detection_weld.png b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/wind-turbine-anomaly/user-guide/_images/anomaly_detection_weld.png similarity index 100% rename from manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/_images/anomaly_detection_weld.png rename to 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b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/wind-turbine-anomaly/user-guide/how-to-connect-to-secure-mqtt-broker.md similarity index 99% rename from manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/how-to-connect-to-secure-mqtt-broker.md rename to manufacturing-ai-suite/industrial-edge-insights-time-series/docs/wind-turbine-anomaly/user-guide/how-to-connect-to-secure-mqtt-broker.md index dd6c51f15..0d91e5ac3 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/how-to-connect-to-secure-mqtt-broker.md +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/wind-turbine-anomaly/user-guide/how-to-connect-to-secure-mqtt-broker.md @@ -155,7 +155,7 @@ Edit your Telegraf configuration file: [[inputs.mqtt_consumer]] ## MQTT broker URLs - use ssl:// for secure connection servers = ["ssl://:"] - + ## TLS Configuration tls_ca = "/run/secrets/ca_certificate.pem" @@ -175,10 +175,10 @@ Edit the `kapacitor.conf` file: enabled = true name = "my_mqtt_broker" default = true - + # Use SSL connection url = "ssl://:" - + # TLS/SSL configuration ssl-ca = "/run/secrets/ca_certificate.pem" ``` diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/how-to-create-a-new-sample-app.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/wind-turbine-anomaly/user-guide/how-to-create-a-new-sample-app.md similarity index 100% rename from manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/how-to-create-a-new-sample-app.md rename to manufacturing-ai-suite/industrial-edge-insights-time-series/docs/wind-turbine-anomaly/user-guide/how-to-create-a-new-sample-app.md diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/how-to-deploy-with-helm.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/wind-turbine-anomaly/user-guide/how-to-deploy-with-helm.md similarity index 100% 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b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/wind-turbine-anomaly/user-guide/system-requirements.md similarity index 100% rename from manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/system-requirements.md rename to manufacturing-ai-suite/industrial-edge-insights-time-series/docs/wind-turbine-anomaly/user-guide/system-requirements.md From ec8250d9bd4b415e575b2d8814c5f796f8c6c8d2 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Tue, 28 Oct 2025 15:29:10 +0100 Subject: [PATCH 02/13] [DOCS] time series modular refactoring pass 2 --- .../{ => user-guide}/dictionary_append.txt | 0 .../docs/{ => user-guide}/index.md | 26 +++++++++--------- .../linkcheck_ignore_append.txt | 0 .../docs/{ => user-guide}/toc.rst | 0 .../_images/anomaly_detection_weld.png | Bin .../_images/anomaly_power_prediction.png | Bin .../_images/dashboard.png | Bin .../_images/emf_deployment.png | Bin .../_images/list_all_dashboard.png | Bin .../_images/login_wt.png | 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manufacturing-ai-suite/industrial-edge-insights-time-series/docs/index.md rename to manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md index 4008acaca..8ab8b4173 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/index.md +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md @@ -21,7 +21,7 @@ operational efficiency. ::::{grid} 1 1 1 1 :::{grid-item-card} Wind Turbine Anomaly Detection :class-card: homepage-card-container-big -:link: ./wind-turbine-anomaly/user-guide/index.html +:link: ./wind-turbine-anomaly/index.html Monitoring power generation anomalies for preventive maintenance. ::: @@ -37,16 +37,16 @@ hide_directive--> .. toctree:: :hidden: - wind-turbine-anomaly/user-guide/how-it-works.md - wind-turbine-anomaly/user-guide/system-requirements - wind-turbine-anomaly/user-guide/get-started - wind-turbine-anomaly/user-guide/how-to-build-from-source - wind-turbine-anomaly/user-guide/how-to-deploy-with-helm - wind-turbine-anomaly/user-guide/how-to-configure-custom-udf - wind-turbine-anomaly/user-guide/how-to-configure-alerts - wind-turbine-anomaly/user-guide/how-to-enable-system-metrics - wind-turbine-anomaly/user-guide/how-to-update-config - wind-turbine-anomaly/user-guide/how-to-create-a-new-sample-app - wind-turbine-anomaly/user-guide/how-to-connect-to-secure-mqtt-broker - wind-turbine-anomaly/user-guide/release_notes + wind-turbine-anomaly/how-it-works.md + wind-turbine-anomaly/system-requirements + wind-turbine-anomaly/get-started + wind-turbine-anomaly/how-to-build-from-source + wind-turbine-anomaly/how-to-deploy-with-helm + wind-turbine-anomaly/how-to-configure-custom-udf + wind-turbine-anomaly/how-to-configure-alerts + wind-turbine-anomaly/how-to-enable-system-metrics + wind-turbine-anomaly/how-to-update-config + wind-turbine-anomaly/how-to-create-a-new-sample-app + wind-turbine-anomaly/how-to-connect-to-secure-mqtt-broker + 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manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/wind-turbine-anomaly/system-requirements.md From 901d6cd963040e92d1c74046df261436594087ff Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Wed, 29 Oct 2025 00:18:48 +0100 Subject: [PATCH 03/13] [DOCS] time series modular refactoring pass 3 --- .../README.md | 31 +++++++++++++------ 1 file changed, 21 insertions(+), 10 deletions(-) diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/README.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/README.md index 8d3bf12e8..d45e9504f 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/README.md +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/README.md @@ -6,19 +6,30 @@ Industrial Edge Insights - Time Series sample application demonstrates a time se To see the system requirements and other installation, see the following guides: - - [System Requirements](docs/user-guide/system-requirements.md): Hardware and software requirements for running the sample application. - - [Get Started](docs/user-guide/get-started.md): Step-by-step guide to getting started with the docker compose deployment of the sample application. + - [System Requirements](docs/user-guide/wind-turbine-anomaly/system-requirements.md): Hardware and software requirements for running the sample application. + - [Get Started](docs/user-guide/wind-turbine-anomaly/get-started.md): Step-by-step guide to getting started with the docker compose deployment of the sample application. ## Architecture and Functionality Overview -Refer [How it works](docs/user-guide/how-it-works.md). +The Industrial Edge Insights - Time Series sample application comprises of data simulators, the generic Time Series AI stack based on **TICK Stack**, and Grafana. The Model Registry microservice helps to achieve the MLOps flow by uploading the **UDF deployment package**. + +![Time Series AI Stack Architecture Diagram](./docs/user-guide/wind-turbine-anomaly/_images/time-series-ai-stack-architecture.png) + + - **Data Simulators/Destinations**: OPC-UA server and MQTT Publisher simulate data sources and destinations, reading from CSV files and interfacing with Telegraf plugins for data ingestion. + - **Generic Time Series AI Stack**: A customizable pipeline for data ingestion, storage, processing, and visualization, supporting integration with various databases, and enabling deep learning model execution. + - **Data Ingestion**: Telegraf collects and reports metrics using input plugins, sending ingested data to InfluxDB for storage. + - **Data Storage**: InfluxDB is a high-performance database optimized for time series data, supporting high write throughput and efficient querying. + - **Data Processing**: Kapacitor processes time series data in real-time, allowing custom logic using User-Defined Functions (UDFs) for anomaly detection and advanced analytics. + - **Data Visualization**: Grafana offers an intuitive interface for real-time visualization of time series data stored in InfluxDB, enabling custom dashboards and monitoring. + +For more details on Architecture, see [How it works](docs/user-guide/wind-turbine-anomaly/how-it-works.md). ## Learn More - - [How to build from source and deploy](docs/user-guide/how-to-build-from-source.md): Guide to build from source and docker compose deployment - - [How to configure OPC-UA/MQTT alerts](docs/user-guide/how-to-configure-alerts.md): Guide for configuring the OPC-UA/MQTT alerts in the Time Series Analytics microservice - - [How to configure custom UDF deployment package](docs/user-guide/how-to-configure-custom-udf.md): Guide for deploying a customized UDF deployment package (udfs/models/tick scripts) - - [How to create a new sample app](docs/user-guide/how-to-create-a-new-sample-app.md): Guide for creating a new sample app by referencing Wind Turbine Anomaly Detection sample app - - [How to connect to secure MQTT broker](docs/user-guide/how-to-connect-to-secure-mqtt-broker.md): Guide for connecting to secure MQTT broker. - - **Release Notes** - - [Release Notes](docs/user-guide/release_notes/Overview.md): Information on the latest updates, improvements, and bug fixes. \ No newline at end of file + - [How to Deploy with Helm](docs/user-guide/wind-turbine-anomaly/how-to-deploy-with-helm.md): Guide for deploying the sample application on a k8s cluster using Helm. + - [How to build from source and deploy](docs/user-guide/wind-turbine-anomaly/how-to-build-from-source.md): Guide to build from source and docker compose deployment + - [How to configure OPC-UA/MQTT alerts](docs/user-guide/wind-turbine-anomaly/how-to-configure-alerts.md): Guide for configuring the OPC-UA/MQTT alerts in the Time Series Analytics microservice + - [How to configure custom UDF deployment package](docs/user-guide/wind-turbine-anomaly/how-to-configure-custom-udf.md): Guide for deploying a customized UDF deployment package (udfs/models/tick scripts) + - [How to create a new sample app](docs/user-guide/wind-turbine-anomaly/how-to-create-a-new-sample-app.md): Guide for creating a new sample app by referencing Wind Turbine Anomaly Detection sample app +- **Release Notes** + - [Release Notes](docs/user-guide/wind-turbine-anomaly/release_notes.md): Information on the latest updates, improvements, and bug fixes. From 4a1a8378551ba8a94b4966afba00c5d68f13b565 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Wed, 29 Oct 2025 10:56:57 +0100 Subject: [PATCH 04/13] [DOCS] time series modular refactoring pass 4 --- .../docs/{user-guide => }/dictionary_append.txt | 0 .../docs/{user-guide => }/linkcheck_ignore_append.txt | 0 .../docs/{user-guide => }/toc.rst | 0 3 files changed, 0 insertions(+), 0 deletions(-) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{user-guide => }/dictionary_append.txt (100%) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{user-guide => }/linkcheck_ignore_append.txt (100%) rename manufacturing-ai-suite/industrial-edge-insights-time-series/docs/{user-guide => }/toc.rst (100%) diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/dictionary_append.txt b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/dictionary_append.txt similarity index 100% rename from manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/dictionary_append.txt rename to manufacturing-ai-suite/industrial-edge-insights-time-series/docs/dictionary_append.txt diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/linkcheck_ignore_append.txt b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/linkcheck_ignore_append.txt similarity index 100% rename from manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/linkcheck_ignore_append.txt rename to manufacturing-ai-suite/industrial-edge-insights-time-series/docs/linkcheck_ignore_append.txt diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/toc.rst b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/toc.rst similarity index 100% rename from manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/toc.rst rename to manufacturing-ai-suite/industrial-edge-insights-time-series/docs/toc.rst From 71d12d28283d8c6463717eef26d123240d7736c2 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Wed, 29 Oct 2025 11:04:33 +0100 Subject: [PATCH 05/13] [DOCS] time series modular refactoring pass 5 toc removed --- .../industrial-edge-insights-time-series/docs/toc.rst | 3 --- 1 file changed, 3 deletions(-) delete mode 100644 manufacturing-ai-suite/industrial-edge-insights-time-series/docs/toc.rst diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/toc.rst b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/toc.rst deleted file mode 100644 index 36ccdb145..000000000 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/toc.rst +++ /dev/null @@ -1,3 +0,0 @@ -.. toctree:: - - user-guide/index \ No newline at end of file From 593d807457b04dd38176ab3e53e9c9a9e4504663 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Mon, 3 Nov 2025 12:03:47 +0100 Subject: [PATCH 06/13] [DOCS] weld anomaly summary reword --- .../docs/user-guide/index.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md index 8ab8b4173..87db3678a 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md @@ -15,7 +15,10 @@ in wind turbines, relative to wind speed. By identifying deviations, it helps optimize maintenance schedules and prevent potential turbine failures, enhancing operational efficiency. -**Weld Anomaly Detection** sample app demonstrates a time series use case by maintaining weld quality, critical for safety and reliability in manufacturing, to prevent failures, hazards, and unplanned downtime. AI-driven analytics allows for detecting anomalous weld patterns and alerting operators for timely intervention. +**Weld Anomaly Detection** sample app demonstrates a use case of AI-driven time series +analytics for maintaining weld quality. It enables detection of anomalous weld patterns +and alerting operators for timely intervention critical for safety and reliability +in manufacturing, and preventing failures, hazards, and unplanned downtime. diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md index 87db3678a..124fedfe7 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md @@ -21,7 +21,7 @@ and alerting operators for timely intervention critical for safety and reliabili in manufacturing, and preventing failures, hazards, and unplanned downtime. \ No newline at end of file +:::{toctree} +:hidden: + +wind-turbine-anomaly/how-it-works.md +wind-turbine-anomaly/system-requirements +wind-turbine-anomaly/get-started +wind-turbine-anomaly/how-to-build-from-source +wind-turbine-anomaly/how-to-deploy-with-helm +wind-turbine-anomaly/how-to-configure-custom-udf +wind-turbine-anomaly/how-to-configure-alerts +wind-turbine-anomaly/how-to-enable-system-metrics +wind-turbine-anomaly/how-to-update-config +wind-turbine-anomaly/how-to-create-a-new-sample-app +wind-turbine-anomaly/how-to-connect-to-secure-mqtt-broker +wind-turbine-anomaly/release_notes +::: +hide_directive--> From ea1c0bba1244baec73818678d6b00a05e2777454 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Mon, 3 Nov 2025 12:34:35 +0100 Subject: [PATCH 08/13] [DOCS] multimodal index header fixes --- .../docs/user-guide/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/index.md b/manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/index.md index ecd34ce9e..971cacf36 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/index.md +++ b/manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/index.md @@ -1,4 +1,4 @@ -# MultiModal Weld Defect Detection +# Industrial Edge Insights - Multimodal MultiModal sample apps demonstrate how to use AI at the edge to identify defects in manufacturing environments by analyzing both image and time series sensor data. From bf19109535b69fdac1b8131837d117bb9811b3f9 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Mon, 3 Nov 2025 13:04:32 +0100 Subject: [PATCH 09/13] [DOCS] time series link fixes --- .../docs/user-guide/index.md | 4 +++- .../docs/user-guide/weld-anomaly-detection/index.md | 3 +++ 2 files changed, 6 insertions(+), 1 deletion(-) create mode 100644 manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/weld-anomaly-detection/index.md diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md index 124fedfe7..c3a74e0ac 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md @@ -24,12 +24,13 @@ in manufacturing, and preventing failures, hazards, and unplanned downtime. ::::{grid} 1 2 3 4 :::{grid-item-card} Wind Turbine Anomaly Detection :class-card: homepage-card-container-big -:link: ./wind-turbine-anomaly/index.html +:link: ./wind-turbine-anomaly/get-started.html Monitoring power generation anomalies for preventive maintenance. ::: :::{grid-item-card} Weld Anomaly Detection :class-card: homepage-card-container-big +:link: ./wind-turbine-anomaly/index.html Monitoring weld anomalies for preventive maintenance. ::: @@ -52,5 +53,6 @@ wind-turbine-anomaly/how-to-update-config wind-turbine-anomaly/how-to-create-a-new-sample-app wind-turbine-anomaly/how-to-connect-to-secure-mqtt-broker wind-turbine-anomaly/release_notes +weld-anomaly-detection/index ::: hide_directive--> diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/weld-anomaly-detection/index.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/weld-anomaly-detection/index.md new file mode 100644 index 000000000..6180e83a0 --- /dev/null +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/weld-anomaly-detection/index.md @@ -0,0 +1,3 @@ +# Weld Anomaly Detection Sample App + +(work in progress) \ No newline at end of file From dfc564fa8419a43bb0f9100c0752299b9df77941 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Mon, 3 Nov 2025 13:06:59 +0100 Subject: [PATCH 10/13] [DOCS] multimodal link fixes --- .../industrial-edge-insights-multimodal/docs/user-guide/index.md | 1 + 1 file changed, 1 insertion(+) diff --git a/manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/index.md b/manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/index.md index 971cacf36..83250b273 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/index.md +++ b/manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/index.md @@ -36,5 +36,6 @@ weld-defect-detection/how-to-build-from-source.md weld-defect-detection/how-to-configure-alerts.md weld-defect-detection/how-to-update-config.md weld-defect-detection/release_notes/Overview.md +weld-defect-detection/Overview.md ::: hide_directive--> From bf6607ffc068180d56d212fa9b9d30512071a446 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Mon, 3 Nov 2025 13:12:48 +0100 Subject: [PATCH 11/13] [DOCS] time series link fixes --- .../docs/user-guide/index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md index c3a74e0ac..4cce824a5 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md @@ -15,7 +15,7 @@ in wind turbines, relative to wind speed. By identifying deviations, it helps optimize maintenance schedules and prevent potential turbine failures, enhancing operational efficiency. -**Weld Anomaly Detection** sample app demonstrates a use case of AI-driven time series +[Weld Anomaly Detection](./weld-anomaly-detection/index.html) sample app demonstrates a use case of AI-driven time series analytics for maintaining weld quality. It enables detection of anomalous weld patterns and alerting operators for timely intervention critical for safety and reliability in manufacturing, and preventing failures, hazards, and unplanned downtime. @@ -30,7 +30,7 @@ Monitoring power generation anomalies for preventive maintenance. ::: :::{grid-item-card} Weld Anomaly Detection :class-card: homepage-card-container-big -:link: ./wind-turbine-anomaly/index.html +:link: ./weld-anomaly-detection/index.html Monitoring weld anomalies for preventive maintenance. ::: From 418adaf4915dc518817ab94259e75e73d11b0057 Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Mon, 3 Nov 2025 13:16:09 +0100 Subject: [PATCH 12/13] [DOCS] time series link fixes --- .../docs/user-guide/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md index 4cce824a5..e1d6a3ee3 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md @@ -15,7 +15,7 @@ in wind turbines, relative to wind speed. By identifying deviations, it helps optimize maintenance schedules and prevent potential turbine failures, enhancing operational efficiency. -[Weld Anomaly Detection](./weld-anomaly-detection/index.html) sample app demonstrates a use case of AI-driven time series +[Weld Anomaly Detection](./weld-anomaly-detection/index.md) sample app demonstrates a use case of AI-driven time series analytics for maintaining weld quality. It enables detection of anomalous weld patterns and alerting operators for timely intervention critical for safety and reliability in manufacturing, and preventing failures, hazards, and unplanned downtime. From d7a8f03f030207fbdf282fa0c49037878767226c Mon Sep 17 00:00:00 2001 From: "Pytlik, MikolajX" Date: Mon, 3 Nov 2025 13:23:56 +0100 Subject: [PATCH 13/13] [DOCS] weld anomaly summary reword --- .../docs/user-guide/index.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md index e1d6a3ee3..7f0f6d3aa 100644 --- a/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md +++ b/manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.md @@ -15,10 +15,10 @@ in wind turbines, relative to wind speed. By identifying deviations, it helps optimize maintenance schedules and prevent potential turbine failures, enhancing operational efficiency. -[Weld Anomaly Detection](./weld-anomaly-detection/index.md) sample app demonstrates a use case of AI-driven time series -analytics for maintaining weld quality. It enables detection of anomalous weld patterns -and alerting operators for timely intervention critical for safety and reliability -in manufacturing, and preventing failures, hazards, and unplanned downtime. +[Weld Anomaly Detection](./weld-anomaly-detection/index.md) sample app demonstrates how AI-driven analytics enable edge devices to monitor weld quality. +They detect anomalous weld patterns and alert operators for timely intervention, +ensuring proactive maintenance, safety, and operational efficiency. No more failures +and unplanned downtime.