Failure Models: Predict equipment failure using IoT sensor data

Failure Models: Predict equipment failure using IoT sensor data

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Walk through a prediction methodology that utilizes multivariate IoT sensor data to predict equipment failure. Accessing this product will take you to the IBM Data Model at https://developer.ibm.com/patterns/predict-equipment-failure-using-iot-sensor-data/

 

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Description

IoT equipment failure prediction involves collecting sensor values and running algorithms to anticipate impending failures. Core building blocks include identifying the features or factors contributing to equipment failures. Then you configure a predictive model to train the model, followed by scoring the test data to check the reliability of the predictive model. Python 2.0 software is used, with sample sensor data loaded into the IBM Watson Studio cloud.

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