摘要
由于旋转机械故障诊断中的振动信息易受到噪声的污染,难以提取到旋转机械的早期故障微弱分量,为此,对常用的微弱信号提取方法进行了研究,提出了一种基于时延欠阻尼三稳态随机共振的轴承微弱故障诊断方法。首先,介绍了三稳态势函数及其形状变化特征,引入了时延参数、反馈参数和阻尼参数,结合福克-普朗克方程得出了等效时延势阱函数和信噪比,证明了时延欠阻尼三稳态系统存在着随机共振现象;然后,把输出信噪比当作评价标准,判定了自适应算法的参数寻优效果,提高了微弱故障信息提取的能力;最后,通过仿真分析和实验验证的方式,对时延欠阻尼三稳态随机共振方法的输出性能进行了评估。研究结果表明:在信号频率为85 Hz和162.7 Hz的轴承故障提取中,与经典的时延随机共振方法和经典的欠阻尼随机共振方法相比,该时延欠阻尼三稳态随机共振方法对高频噪声的滤波效果更佳,具有更高的适用性和可靠性;该方法可以有效地检测微弱故障信号。
In order to solve the problem that the vibration information in rotating machinery fault diagnosis was susceptible to noise pollution and it was difficult to extract the weak component of early fault,the commonly used weak signal extraction methods were studied,and a method of bearing weak fault diagnosis based on time-delay underdamped tri-stable stochastic resonance was proposed.Firstly,the tri-stable potential function and its shape variation characteristics were discussed,and the time-delay parameters,feedback parameters and damping parameters were introduced.The equivalent time-delay potential well function and signal-to-noise ratio were obtained by combining the Fokker-Planck equation,which proved the stochastic resonance phenomenon of the time-delay underdamped tri-stable system.Then,to improve the ability of weak fault information extraction,the output signal-to-noise ratio was used as the evaluation standard to determine the parameter optimization effect of the adaptive algorithm.Finally,the output performance of the time-delay underdamped tri-stable stochastic resonance method was evaluated through simulation analysis and experimental verification.The results show that the method performs better in filtering high frequency noise when the signal frequency is 85 Hz and 162.7 Hz,which is far better than that of the classical time-delay stochastic resonance method and the classical underdamped stochastic resonance method,and has higher applicability and reliability.This method can effectively detect weak fault signals.
作者
李志星
王光进
鲍慧茹
LI Zhi-xing;WANG Guang-jin;BAO Hui-ru(Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles,Beijing University of Civil Engineering and Architecture,Beijing 102612,China;School of Mechanical Engineering,Inner Mongolia University of Science and Technology,Baotou 014010,China;Baotou Vocational and Technical College,Baotou 014030,China)
出处
《机电工程》
CAS
北大核心
2021年第11期1378-1386,共9页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金青年基金项目(51805275)
北京建筑大学青年教师科研能力提升计划项目(X21053)
城市轨道交通车辆服役性能保障北京市重点实验室开放课题资助项目(2020102)。
关键词
轴承微弱故障诊断
时延欠阻尼
三稳态
随机共振
信噪比
bearing weak fault diagnosis
time-delay underdamping
tri-stability
stochastic resonance
signal-to-noise ratio
