Reference number : GC-2017-Q3-00633, amendment number : , agreement type : G, recipient legal name : Salmon, John (University of Alberta), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Engage Plus Grants for universities, program name french : Subvention d'engagement partenarial Plus pour les universités, program purpose english : 3-phase induction motors are a critical part of many Alberta industries as they are a cost effective tool for many_x000D_
industrial processes, especially relevant in Alberta because of the oil and gas, forestry and petro-chemical_x000D_
industries. Typically, 60-80% of electricity in the industrial sector is consumed by induction motors. Hence,_x000D_
energy efficiency reliable operation of induction motors are a major interest from both economic and_x000D_
environmental perspectives. Motors failures incur significant costs by decreasing production time. Therefore,_x000D_
the potential benefits in Alberta industries for large-scale, continuous monitoring of equipment integrity are_x000D_
significant, and including: increased efficiency in the operating process; reduction of un-planned downtimes;_x000D_
increased useful lifetime of equipment; enhanced understanding of failure causes. This project is a continuation_x000D_
of a previous Engage grant on the same topic with a new focus on data measurement and collection techniques_x000D_
suitable for custom low cost data acquisition system rather than using historical plant as stated in the previous_x000D_
Engage grant. The intention of this project is to provide a more cost effective means, than existing commercial_x000D_
products, for condition monitoring on a larger scale. This will be accomplished by implementing data analysis_x000D_
techniques on several electrical signatures collected from laboratory equipment under given constraints. The_x000D_
results of this work will provide the foundation for both the development of a custom low cost data analysis_x000D_
collection system, as well as the development of Artificial Intelligence monitoring techniques. It is the hope_x000D_
that the hardware and software developed in this project will provide solutions to the problem of low cost large_x000D_
scale condition monitoring techniques., program purpose french : 3-phase induction motors are a critical part of many Alberta industries as they are a cost effective tool for many_x000D_
industrial processes, especially relevant in Alberta because of the oil and gas, forestry and petro-chemical_x000D_
industries. Typically, 60-80% of electricity in the industrial sector is consumed by induction motors. Hence,_x000D_
energy efficiency reliable operation of induction motors are a major interest from both economic and_x000D_
environmental perspectives. Motors failures incur significant costs by decreasing production time. Therefore,_x000D_
the potential benefits in Alberta industries for large-scale, continuous monitoring of equipment integrity are_x000D_
significant, and including: increased efficiency in the operating process; reduction of un-planned downtimes;_x000D_
increased useful lifetime of equipment; enhanced understanding of failure causes. This project is a continuation_x000D_
of a previous Engage grant on the same topic with a new focus on data measurement and collection techniques_x000D_
suitable for custom low cost data acquisition system rather than using historical plant as stated in the previous_x000D_
Engage grant. The intention of this project is to provide a more cost effective means, than existing commercial_x000D_
products, for condition monitoring on a larger scale. This will be accomplished by implementing data analysis_x000D_
techniques on several electrical signatures collected from laboratory equipment under given constraints. The_x000D_
results of this work will provide the foundation for both the development of a custom low cost data analysis_x000D_
collection system, as well as the development of Artificial Intelligence monitoring techniques. It is the hope_x000D_
that the hardware and software developed in this project will provide solutions to the problem of low cost large_x000D_
scale condition monitoring techniques., agreement title english : Data Analysis for Condition Monitoring and Fault Detection in Induction Motors, agreement title french : Data Analysis for Condition Monitoring and Fault Detection in Induction Motors, agreement number : EGP2, agreement value : 12500.0, agreement start date : 2017-10-18, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada