Phase sensitive detection of motor fault signatures in the presence of noise

Date

2007-05-05

Author

Akin, Bilal
Toliyat, Hamid
Orguner, Umut
Rayner, Mark

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In this paper, digital signal processor (DSP)-based phase-sensitive motor fault signature detection is presented. The implemented method has a powerful line current noise suppression capability while detecting the fault signatures. Because the line current of inverter driven motors involve low order harmonies, high frequency switching disturbances, and the noise generated by harsh industrial environment; the real-time fault analyses yield erroneous or fluctuating fault signatures. This situation becomes a significant problem when signal to noise ratio (SNR) of the fault signature is quite low. It is theoretically and experimentally shown that the proposed method can determine the normalized magnitude and phase information of the fault signatures even in the presence of noise, where the noise amplitude is several times higher than the signal itself.

Subject Keywords

Fault detection, Phase detection, Phase noise, Working environment noise, Signal to noise ratio, Noise level, Digital signal processors, Inverters, Frequency, Noise generators

URI

https://hdl.handle.net/11511/43271

DOI

https://doi.org/10.1109/iemdc.2007.383637

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. Akin, H. Toliyat, U. Orguner, and M. Rayner, “Phase sensitive detection of motor fault signatures in the presence of noise,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43271.