Data Analysis for Condition Monitoring and Fault Detection in Induction Motors

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3-phase induction motors are a critical part of many Alberta industries as they are a cost effective tool for manyindustrial processes, especially relevant in Alberta because of the oil and gas, forestry and petro-chemicalindustries. Typically, 60-80% of electricity in the industrial sector is consumed by induction motors. Hence,energy efficiency reliable operation of induction motors are a major interest from both economic andenvironmental perspectives. Motors failures incur significant costs by decreasing production time. Therefore,the potential benefits in Alberta industries for large-scale, continuous monitoring of equipment integrity aresignificant, and including: increased efficiency in the operating process; reduction of un-planned downtimes;increased useful lifetime of equipment; enhanced understanding of failure causes. This project is a continuationof a previous Engage grant on the same topic with a new focus on data measurement and collection techniquessuitable for custom low cost data acquisition system rather than using historical plant as stated in the previousEngage grant. The intention of this project is to provide a more cost effective means, than existing commercialproducts, for condition monitoring on a larger scale. This will be accomplished by implementing data analysistechniques on several electrical signatures collected from laboratory equipment under given constraints. Theresults of this work will provide the foundation for both the development of a custom low cost data analysiscollection system, as well as the development of Artificial Intelligence monitoring techniques. It is the hopethat the hardware and software developed in this project will provide solutions to the problem of low cost largescale condition monitoring techniques.