Skip to main content

Diagnosis of Open-Phase Faults in PM Brushless DC Motors Using Wavelet and Adaptive Fuzzy Techniques

Buy Article:

$55.00 plus tax (Refund Policy)

A discrete-time model is used to simulate performance of PM brushless DC motor drives under normal and faulty operations. Normal conditions included perfect and imperfect commutations as well as noisy operation. Faulty operation was considered an open-circuit fault on one phase of the stator windings. Current waveform of the motor-DC link is monitored and processed using continuous wavelet transform to derive suitable diagnostic indices. An adaptive neuro-fuzzy inference system (ANFIS) is trained based on indices extracted under various operating conditions in order to automate the diagnosis process. The developed ANFIS yielded a perfect diagnosis of the fault. A good agreement between simulation and experimental results is achieved.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: brushless DC motors; fault diagnosis; neuro-fuzzy systems; wavelet transform

Document Type: Research Article

Affiliations: Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA

Publication date: 2004-11-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more