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Electrical Machines Fault Detection through Frequency Response Analysis (FRA) -- Part I: Stator | | Reza Khalilisenobari
; Javad Sadeh
; | | Date: |
16 Feb 2020 | | Abstract: | Remarkable performance of the Frequency Response Analysis (FRA) technique in
transformers’ fault detection, structural similarity between transformers and
electrical machines, and the importance of machines’ condition monitoring are
the main reasons for studying FRA in the electrical machines. In this paper,
the application of the FRA method for electrical machines fault detection is
investigated by experimental tests on a three-phase wound-rotor asynchronous
machine. First, the effect of the rotor position on the sound and defective
stator frequency responses is assessed under different circuit connections.
Second, the applicability of the FRA for detection of the stator inter-turn and
phase to phase short-circuit faults and insulation weaknesses is evaluated by
considering fault resistance, location, and severity. Third, the best circuit
connection for fault detection is determined. Finally, the performance of a
wide range of statistical indices that are used for FRA results comparison is
studied to find the best one. A new index for FRA interpretation is also
introduced. | | Source: | arXiv, 2002.6695 | | Services: | Forum | Review | PDF | Favorites | |
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