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作 者:孟玲霞[1] 徐小力[1] 左云波[1] MENG Lingxia;XU Xiaoli;ZUO Yunbo(Mechanical Electrical Engineering School,Beijing Information Science&Technology University,Beijing 100192,China)
机构地区:[1]北京信息科技大学机电工程学院,北京100192
出 处:《振动与冲击》2020年第7期163-169,179,共8页Journal of Vibration and Shock
基 金:国家自然科学基金(51275052,51575055);北京市自然基金重点项目(3131002);国家高技术研究发展计划(863计划)(2015AA043702);“高档数控机床与基础制造装备”科技重大专项(2015ZX04001002)。
摘 要:风电机组齿轮箱工作于强噪声且变转速变载荷的工况下,其振动信号非常复杂。建立了一个时变转速变载荷的行星齿轮箱振动信号模型。提出了时频脊阶次谱故障特征提取方法。对振动信号进行Wigner-Ville时频变换,取对数后进行重排;采用Crazy climber方法提取对数重排时频谱图中的峰值脊线;将脊线转换为时频脊阶次谱。通过仿真信号与转速、载荷连续波动实验数据表明,对数时频脊阶次谱故障特征能够为时变复杂工况行星齿轮箱故障预警提供有效的依据。The gearbox of wind turbine works under the condition of strong noise and time-varying speed and load,and its vibration signal is very complex.A vibration signal model of planetary gearbox with time-varying speed and load was established.A fault feature extraction method of time-frequency ridge order spectrum was proposed.First of all,the vibration signal was transformed by Wigner-Ville time-frequency transform,and then logarithmized and rearranged.Then,the peak ridge in the logarithmic rearrangement time spectrum was extracted by Crazy climber method.Finally,the ridge was converted into the time-frequency ridge order spectrum.The simulation signal and the experimental data of continuous fluctuation of rotational speed and load show that the fault characteristics of logarithmic time-frequency ridge order spectrum can provide an effective basis for fault early warning of planetary gearbox under time-varying complex conditions.
关 键 词:行星齿轮箱 时变工况 时频脊阶次谱 故障特征提取
分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置] TH165.3[自动化与计算机技术—控制科学与工程]
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