Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment-Reference-Cited by-同舟云学术

Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment

Published:2011-01 Issue:1 Volume:25 Page:360-372
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Gu F.,Shao Y.,Hu N.,Naid A.,Ball A.D.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference24 articles.

1. Current signature analysis to detect induction motor faults;Thomson;IEEE Industry Applications Magazine,2001

2. A review of induction motors signature analysis as a medium for faults detection;Benbouzid;IEEE Transactions on Industrial Electronics,2000

3. R.R. Obaid, T.G. Habetler, R.M. Tallam, Detecting load unbalance and shaft misalignment using stator current in inverter-driven induction motors, in: IEEE International Electric Machines and Drives Conference, 2003, pp. 1454–1458.

4. Reducing unscheduled plant maintenance delays—field test of a new method to predict electric motor failure;Honce;IEEE Transactions on Industry Applications,1996

5. Condition monitoring of machinery using motor current signature analysis;Kryter;Sound and Vibration,1989

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