基于阶次自分离的轮毂电机故障诊断方法研究
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江苏大学汽车与交通工程学院

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U472.9

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江苏省道路载运工具新技术应用重点试验室开放课题项目(BM20082061508);中国博士后基金项目(2016M601740)


Order Self-separation Method of Rotating Machinery Fault Diagnosis and Its Test Verification
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School of Automotive and Traffic Engineering, Jiangsu University,

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    摘要:

    轮毂电机作为电动汽车四轮独立驱动系统的动力源,其运行状态直接关系着整车安全。为了逐步实现对轮毂电机运行状态的监测,本文提出一种新的方法--阶次自分离方法,以适应其复杂多变的行驶工况。本方法克服了传统阶次跟踪方法需同时采集转速信号和振动信号的局限性,仅针对转速信号进行研究,并提取其中蕴藏的非正常波动成分,同时借鉴传统阶次跟踪方法对时域非平稳信号的处理方式,对波动成分进行角域重采样和傅里叶变换,凸显出蕴藏于转速信号中的故障特征,进而实现对轮毂电机的故障诊断。结合Matlab仿真分析和轮毂电机漏电故障试验,结果表明阶次自分离方法可有效识别出轮毂电机漏电故障特征。

    Abstract:

    Wheel motor is the power source of a four-wheel electric vehicle independent drive system, its operating status is directly related to the safety of vehicle. In order to realize the monitoring of the running status of the hub motor, this paper proposes a new method--order self-separation method to adapt to its complicated driving conditions. This method overcomes the limitation of the traditional tracking method, the traditional method needs to collect the speed signal and the vibration signal at the same time, but it only researches the speed signal, and extracts the abnormal fluctuation components contained in the speed signal, and carries on the angular area resampling and the fourier transform to the fluctuating components, which by reference the way how to deal with unstable signal in terms of domain in traditional order analysis. It highlights the fault characteristics hidden in the speed signal, and then achieve the wheel motor fault diagnosis. Combined with Matlab simulation and wheel motor fault test, the results show that the self-separation method can effectively identify the fault information hidden in the speed signal.

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引用本文

李仲兴,殷苏群. 基于阶次自分离的轮毂电机故障诊断方法研究[J]. 科学技术与工程, 2018, 18(1): .
LI Zhong-xing and. Order Self-separation Method of Rotating Machinery Fault Diagnosis and Its Test Verification[J]. Science Technology and Engineering,2018,18(1).

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历史
  • 收稿日期:2017-06-17
  • 最后修改日期:2017-08-24
  • 录用日期:2017-09-05
  • 在线发布日期: 2018-01-19
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