Grants and Contributions:

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Title:

A new technology for motor rotor bar fault detection under no load conditions

Agreement Number:

EGP

Agreement Value:

$25,000.00

Agreement Date:

Nov 8, 2017 -

Organization:

Natural Sciences and Engineering Research Council of Canada

Location:

Ontario, CA

Reference Number:

GC-2017-Q3-00472

Agreement Type:

Grant

Report Type:

Grants and Contributions

Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:

Wang, Wilson Quansheng (Lakehead University)

Program:

Engage Grants for universities

Program Purpose:

Electric motors are commonly used in various domestic and industrial applications. The problem raised byx000D
Mahon Electric Co Ltd. (in Thunder Bay, Ontario) is how to detect a broken rotor bar fault under low or nox000D
load conditions, which is also an ongoing problem in the industry, and a challenging task in this research field.x000D
A lower load corresponds to a smaller slip, which makes it more difficult to detect rotor fault. To tackle thisx000D
challenge, the objective of this project, in collaboration with Mahon Electric, is to develop a new slip spectralx000D
(SS) technique for broken rotor bar fault detection, under low or no loading. The proposed SS techniquex000D
applies both electric current and vibration signals for fault detection. Specifically, 1) a smart sensor will bex000D
developed for more accurate rotor speed recognition and slip estimation; 2) Adaptive denoising filteringx000D
technique will be proposed to improve signal-to-noise ratio of the complex signal path from the faulty rotor barx000D
to the current sensors; 3) A new approach will be suggested to demodulate average spectral characteristics overx000D
the bands with impulses for rotor bar fault detection under no load conditions. This project will be undertakenx000D
with close collaboration with Mahon Electric. The related research and testing will be performed in thex000D
company. The rich hands on experience the company's staff will be very helpful to make productive results ofx000D
this project. The proposed SS technology can also be used for general online motor health conditionx000D
monitoring to recognize the motor defect at its earliest stage so as to prevent machinery performancex000D
degradation, malfunction, or even devastating failures. The SS technology can benefit a wide array of Canadianx000D
companies to gain a competitive advantage in the related market by improving production quality and systemx000D
reliability, and reducing costs.