摘要
电机运行故障检测是满足安全生产的关键技术。为了弥补局部均值分解(Improved Local mean decomposition,LMD)算法存在模态混叠的问题,设计了一种有理样条插值改进LMD方法,并成功应用于电机早期故障诊断领域。以LMD方法分解初始振动信号得到乘积函数分量后,并获取乘积函数各个分量,通过包络方式对电机故障进行诊断。研究结果表明:通过有理样条插LMD分解后未出现模态混叠,在包络谱中出现明显故障特征频率与二倍频。以有理样条插LMD诊断准确度高达99.8%,该模型在电机故障诊断方面达到了有效性要求。该研究能够有效提高电机早期故障诊断能力,且适用于其它的机械传动设备上,具有很好的推广应用价值。
The operation fault detection is the key technology to meet the safe production of electric motor.In order to make up for the mode aliasing problem in Local Mean Decomposition(LMD)algorithm,a rational spline interpolation improvement LMD method is designed and successfully applied in the early fault diagnosis field of motor.After the initial vibration signal is decomposed by LMD method,the product function component is obtained,each component of the product function is acquired,and the motor fault is diagnosed by the enveloping method.The research results show that there is no mode aliasing after rational spline interpolation in LMD decomposition,and there are obvious fault characteristic frequency and double frequency appeared in the envelope spectrum.The diagnosis accuracy of inserting the rational spline in LMD is up to 99.8%,so the model meets the validity requirement in fault diagnosis of motor.This research can effectively improve the early fault diagnosis ability of motor,and can be applied to other mechanical transmission equipment.It has a good value of popularization and application.
作者
苏蓓
Su Bei(College of Intelligent Manufacturing,Xinxiang Vocational Technical College,Xinxiang 453000,China)
出处
《防爆电机》
2025年第4期132-135,共4页
Explosion-proof Electric Machine
基金
河南省高等学校重点科研项目(20B413011)。
关键词
电机
故障诊断
有理样条插值
局部均值分解算法
Electric motor
fault diagnosis
rational spline interpolation
LMD algorithm
