A simple fuzzy logic approach for induction motors stator condition monitoring
Joint Authors
Zeraoulia, M.
Mamoune, A.
Mangel, H.
Bin Buzayd, M. E. H.
Source
Issue
Vol. 1, Issue 1 (30 Mar. 2005), pp.15-25, 11 p.
Publisher
Publication Date
2005-03-30
Country of Publication
Algeria
No. of Pages
11
Main Subjects
Topics
Abstract EN
Many researches dealt with the problem of induction motors fault detection and diagnosis.
The major difficulty is the lack of an accurate model that describes a fault motor.
Moreover, experienced engineers are often required to interpret measurement data that are frequently inconclusive.
A fuzzy logic approach may help to diagnose induction motor faults.
In fact, fuzzy logic is reminiscent of human thinking processes and natural language enabling decisions to be made based on vague information.
Therefore, this paper applies fuzzy logic to induction motors fault detection and diagnosis.
The motor condition is described using linguistic variables.
Fuzzy subsets and the corresponding membership functions describe stator current amplitudes.
A knowledge base, comprising rule and data bases, is built to support the fuzzy inference.
The induction motor condition is diagnosed using a compositional rule of fuzzy inference.
American Psychological Association (APA)
Zeraoulia, M.& Mamoune, A.& Mangel, H.& Bin Buzayd, M. E. H.. 2005. A simple fuzzy logic approach for induction motors stator condition monitoring. Journal of Electrical Systems،Vol. 1, no. 1, pp.15-25.
https://search.emarefa.net/detail/BIM-174821
Modern Language Association (MLA)
Zeraoulia, M.…[et al.]. A simple fuzzy logic approach for induction motors stator condition monitoring. Journal of Electrical Systems Vol. 1, no. 1 (Mar. 2005), pp.15-25.
https://search.emarefa.net/detail/BIM-174821
American Medical Association (AMA)
Zeraoulia, M.& Mamoune, A.& Mangel, H.& Bin Buzayd, M. E. H.. A simple fuzzy logic approach for induction motors stator condition monitoring. Journal of Electrical Systems. 2005. Vol. 1, no. 1, pp.15-25.
https://search.emarefa.net/detail/BIM-174821
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 24-25
Record ID
BIM-174821