Speciality : Condition Monitoring
Solution designed for : Motor Bearing Anomaly Detection & Remaining Useful Life
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Data acquisition based on IoT sensors/nodes with Azure Data Services.
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Deep-learning algorithm to detect anomalies in real-time sensor data.
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Cloud Storage mechanism (Azure).
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Anomaly detection based on deep network trained Time Series Insights.
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A web-app based user interface for monitoring.
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Machine Learning for cloud based training.
In addition , unsupervised learning is incorporated to calculate remaining useful life of bearing.
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Train and test deep learning based on vibration analysis data.
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Alarms/Alerts for Machine Health according to the escalation matrix.
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Use predicted sensory information to classify fault type and predict time till failure.