Document Type
Article
Language
eng
Format of Original
8 p.
Publication Date
3-2002
Publisher
Institute of Electrical and Electronics Engineers
Source Publication
IEEE Transactions on Energy Conversion
Source ISSN
0885-8969
Original Item ID
doi: 10.1109/60.986435
Abstract
This paper develops the fundamental foundations of a technique for detection of faults in induction motors that is not based on the traditional Fourier transform frequency domain approach. The technique can extensively and economically characterize and predict faults from the induction machine adjustable speed drive design data. This is done through the development of dual-track proof-of-principle studies of fault simulation and identification. These studies are performed using our proven Time Stepping Coupled Finite Element-State Space method to generate fault case data. Then, the fault cases are classified by their inherent characteristics, so-called “signatures” or “fingerprints.” These fault signatures are extracted or mined here from the fault case data using our novel Time Series Data Mining technique. The dual-track of generating fault data and mining fault signatures was tested here on three, six, and nine broken bar and broken end-ring connectors in a 208-volt, 60-Hz, 4-pole, 1.2-hp, squirrel cage 3-phase induction motor.
Recommended Citation
Povinelli, Richard J.; Bangura, John F.; Demerdash, Nabeel; and Brown, Ronald H., "Diagnostics of Bar and End-Ring Connector Breakage Faults in Polyphase Induction Motors Through a Novel Dual Track of Time-Series Data Mining and Time-Stepping Coupled FE-State Space Modeling" (2002). Electrical and Computer Engineering Faculty Research and Publications. 99.
https://epublications.marquette.edu/electric_fac/99
ADA Accessible Version
Comments
Accepted version. IEEE Transactions on Energy Conversion, Vol. 17, No. 1 (March 2002): 39-46. DOI. © 2002 Institute of Electrical and Electronic Engineers (IEEE). Used with permission.