79 / 2017-05-29 21:23:44
Bearing Fault Detection of Induction Motors using Detection coils and LSSVM
Induction motor,fault detection,detection coils,least squares support vector machine(LSSVM)
全文录用
Shirong Zhang / Wuhan University
Fangfang Zhang / Wuhan University
Wenlian Chen / Zhejiang Erg Technology Joint Stock CO., LTD.
Qiqiang Zhang / Zhejiang Erg Technology Joint Stock CO., LTD.
Longbo Zhang / Zhejiang Erg Technology Joint Stock CO., LTD.
Induction motors are the most popular drive equipment in industrial sector. In this paper, we address bearing fault detection of motors with detection coils and least squares support vector machine (LSSVM). Firstly, a detection scheme is proposed, where 8 pre-fixed coils sense the rotor displacements. Then, the serially connected coil pairs are processed with infinite impulse response (IIR) filters. Lastly, a LSSVM based algorithm is proposed to detect bearing faults. Experiments are carried out with an oil pump. The results convince the validity of the proposed approach.
重要日期
  • 会议日期

    12月15日

    2017

    12月17日

    2017

  • 09月10日 2017

    初稿截稿日期

  • 09月20日 2017

    初稿录用通知日期

  • 09月30日 2017

    终稿截稿日期

  • 12月17日 2017

    注册截止日期

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