Multi Sensor Data Fusion Based Expert System in Condition Monitoring and Fault Detection: An Induction Motor Case Study


Condition monitoring is a predictive maintenance procedure, which is used to provide warning and predict faults of a system at an early stage, so catastrophic breakdown of the system can be avoided. An efficient condition monitoring method can reduce the cost of breakdown maintenance, increase the working life of system, and reduce the spare part inventory. Condition monitoring system acquires raw data of different system parameters using different sensors. Different signal processing techniques are implemented on the raw data to extract vital clues and estimate the probable faults in the machine. This paper gives an overview of condition monitoring system of induction motor and gives an overview of implementation of multi sensor data fusion technique to improve the efficiency of condition monitoring system.

Tarun Naruka, Subhransu Padhee, Ruchika Lamba

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