Happened on : March 14, 2018, 3:00 pm (IST)

Early detection of anomalies is of immense importance to safeguard the health of the asset and in downtime prevention. Anomalies or irregularities in the asset indicates that the process is inherently faulty. Industrial IoT Analytics leverages the sensor data of the various assets used in the industries to identify these faults and to ensure smooth operation, prevent downtime and monitor asset health.

In this session, you will be able to understand the role of Data Science in the field of Industrial IoT. The main area of focus would be Machine Learning Algorithms in Anomaly Detection with a specific use case in Hydro Electric Power Generator.

Key Takeaways:

1. Basic understanding of Data Science in Industrial IoT
2. Introduction to Anomaly and Anomaly Detection in Hydro Electric Generator
3. Basic Exploratory Data Analysis in Anomaly Detection
4. Usage of Machine Learning Algorithms in Anomaly Detection

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