变速行星齿轮系统故障诊断方法
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TH113

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国家自然科学基金重点资助项目(51335006);北京市自然科学基金重点资助项目(3131002)


Fault Diagnosis of Planetary Gear System Under Time-Varying Speed Conditions
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    摘要:

    针对风力发电机行星齿轮系统变速非平稳工况,且故障信号耦合调制严重、传递路径复杂、噪声污染严重等特点,提出了基于阶次包络分析的故障诊断方法,详细阐述了方法原理和实现流程。通过对变速工况下的仿真加速度信号进行阶次包络分析,对比行星轮、太阳轮以及齿圈出现故障后与正常齿轮系统的阶次包络谱结构特性,总结了不同部件故障的特征阶次。在此基础上,通过对变速行星齿轮系统试验信号的分析表明:阶次包络分析方法能较好地抑制噪声干扰,反映故障特征清楚,且故障特征能作为变转速时行星齿轮系统故障诊断和定位的依据。

    Abstract:

    Certain factors bring tremendous trouble to the fault diagnosis of the planetary gear system of wind turbines, such as a complex signal transfer path, severe noise pollution and signal couple modulation. These factors become more severe under unstable work conditions and time-varying speed. In order to solve the fault diagnosis problems caused by these factors, a method based on order envelop analysis (OEA) was proposed, and its principle and implementation were elaborated. The OEA method was used to analyze the vibration acceleration signals of a planetary system with tooth faults and time-varying speeds. The fault characteristic order of different parts (planet, sun gear and ring gear) was obtained through comparison to the order feature of a normal gear system. Experimental tests show that by combining the advantages of both order analysis and envelope analysis, the OEA method was efficient and has the advantage of strong anti-noise ability. Furthermore, the fault characteristic orders of different parts were shown to be useful for detecting and localizing faults in planetary gear systems under time-varying speed conditions.

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  • 在线发布日期: 2016-05-05
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