摘要
针对滚动轴承不同零件早期故障诊断难的问题,课题组提出了优化自适应随机共振的诊断方法。介绍了自适应随机共振;提出了以信噪比为目标的优化自适应随机共振诊断法;采用正弦加噪信号的仿真实验验证了优化自适应随机共振的诊断可行性。实测信号实验结果表明:优化自适应随机共振对轴承内圈、外圈故障具备直接诊断能力;将优化自适应随机共振与小波虑噪相结合可以取得滚动体良好的诊断效果。该研究为滚动轴承不同零件早期故障诊断提供了一种新思路。
Aiming at the difficulties of early malfunction diagnosis of different parts of rolling bearings,a new method of optimized self-adaptive stochastic resonance was proposed.Firstly,self-adaptive stochastic resonance(SR)was introduced.Then an optimized adaptive stochastic resonance diagnosis method with signal to noise ratio(SNR)as the optimized target was proposed.The simulation experiment of sine signal with strong noise was carried out to prove the diagnostic feasibility of optimized self-adaptive stochastic resonance.The experimental results show that the inner and outer ring malfunction have been diagnosed by optimized self-adaptive SR,and the combination of optimized adaptive stochastic resonance and wavelet de-noise can achieve good diagnosis results for rolling elements.This method provides a new idea for early malfunction diagnosis of different parts of rolling bearing.
作者
郑煜
王凯
杨利红
ZHENG Yu;WANG Kai;YANG Lihong(School of Mechanical Engineering,Shaanxi Polytechnic Institute,Xianyang,Shaanxi 712042,China;School of Mechanical and Precision Instrument Engineering,Xi'an University of Technology,Xi'an 710048,China)
出处
《轻工机械》
CAS
2020年第2期74-76,83,共4页
Light Industry Machinery
基金
陕西省教育厅重点实验室科学研究计划(16JS076):风电机组偏航轴承早期故障的分形诊断新方法
陕西工业职业技术学院2019院级科研计划项目(ZK19-09):滚动轴承早期故障诊断的非线性新方法。
关键词
滚动轴承
早期故障诊断
不同零件
自适应随机共振
rolling bearing
early malfunction diagnosis
different parts
self-adaptive stochastic resonance
