摘要
针对机械轴承早期故障诊断提出了多稳随机共振检测方法。分析了系统参数对多稳系统结构的影响,研究了高斯噪声背景下基于多稳随机共振的微弱信号检测方法。采用平均输出信噪比作为衡量指标,以多频微弱信号为待测信号进行数值仿真,并将其应用于滚动轴承故障信号检测中,实验结果均表明,该方法对早期故障振动信号具备准确的诊断能力,为其应用于工程实践奠定了基础。
A multi-stable stochastic resonance detection method is proposed for early fault diagnosis of electromechanical equipment.The effect of the system parameters on the structure of the multi-stable system is analyzed,and the weak signal detection method based on multi-stable stochastic resonance in the Gaussian noise background is studied.The average output signal-to-noise ratio is used as a measurement index,and the multi-frequency weak signal is tested for numerical simulation.The method is applied to the rolling bearing failure signal detection.The experimental results show that the method has accurate diagnosis ability for early fault vibration signals,which lays the foundation for its application in engineering practice.
出处
《内燃机与配件》
2021年第6期145-146,共2页
Internal Combustion Engine & Parts
基金
基于多稳随机共振的机电设备故障检测方法研究(2020TKYB-043)。
关键词
多稳态随机共振
故障诊断
机电设备
multi-stable stochastic resonance
fault diagnosis
electromechanical equipment
