Integrated On-line Condition Monitoring and Failure Diagnosis in Induction Motors

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Electric motors are widely used in industry. Traditional maintenance approaches have involved regular overhauls/inspections and replacement after a fixed period. On-line condition monitoring involves taking non-invasive measurements to determine the motor's "health" and only scheduling maintenance when required. The benefits are reduced unexpected failures and reduced maintenance costs due to the greater maintenance intervals. The majority of existing work on condition monitoring has looked at using a single sensor type (eg. vibration) for fault prediction. The proposed work seeks to improve the reliability and accuracy of fault diagnosis by correlating information from multiple sensor types, which can be accessed remotely.