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- W2765482110 abstract "This paper shows the different analysis method with computerized data processing and acquisition has brought new areas in the condition monitoring of Induction Motor. The modern industry mainly used reliability based and condition based maintenance strategies to reduce unexpected failures. Detection of air gap eccentricity fault by using wavelet Analysis method and Motor Current Signature Analysis method are discussed here. It helps in the real time tracking of various motor defects and determines the severity of it, which can be used for fast decision making. The study on healthy motor and faulty motor under different speed condition is carried out experimentally and the results are analyzed using FFT spectrum, which is obtained by interfacing National Instrument data acquisition module with the LabVIEW software." @default.
- W2765482110 created "2017-11-10" @default.
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- W2765482110 date "2017-03-01" @default.
- W2765482110 modified "2023-10-16" @default.
- W2765482110 title "Static eccentricity failure diagnosis for induction machine using wavelet analysis" @default.
- W2765482110 cites W1985250070 @default.
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- W2765482110 doi "https://doi.org/10.1109/igeht.2017.8094095" @default.
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