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Phase-sensitive detection of motor fault signatures in the presence of noise
Date
2008-06-01
Author
Akin, Bilal
Orguner, Umut
Toliyat, Hamid A.
Rayner, Mark
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this paper, a digital signal processor-based phase-sensitive motor fault signature detection technique 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 the signal-to-noise ratio 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. Since it has low computational burden, the developed algorithm is embedded to the motor control program without degrading drive performance. Therefore, it is implemented without any additional cost using readily available drive processor and current sensors.
Subject Keywords
Control and Systems Engineering
,
Electrical and Electronic Engineering
URI
https://hdl.handle.net/11511/39305
Journal
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
DOI
https://doi.org/10.1109/tie.2008.921681
Collections
Department of Electrical and Electronics Engineering, Article