摘要
针对中介轴承声发射故障信号非平稳、非线性,且故障信号特征微弱等特点,将信息熵理论与量子理论相融合,提出了一种多尺度量子熵的中介轴承故障特征提取方法。首先,建立了声发射信号的多量子位系统,构建量子信息熵的计算方法;然后,采集4种不同工况下的中介轴承声发射信号,最后,对采集的故障信号进行多尺度分解,提取不同尺度下粗粒向量的量子熵值。结果表明,提取的故障特征能够准确表征中介轴承故障状态,且具有良好的稳定性。
Aiming at the non-stationary,non-linear and weak characteristics of acoustic emission fault signals of Inter-shaft bearings,a multi-scale quantum entropy based fault feature extraction method for Inter-shaft bearings was proposed,which combined information entropy theory with quantum theory.Firstly,the multi-qubit system of AE signal was established,and the calculation method of quantum information entropy was constructed.Then,the AE signals of Inter-shaft bearing under four different working conditions were collected.Finally,the fault signals were decomposed at multi-scale to extract the quantum entropy values of coarse-grained vectors at different scales.The results show that the fault features extracted can accurately characterize the fault state of Inter-shaft bearings and have good stability.
作者
刘丽丽
田晶
刘广鑫
张帅
田博文
艾延廷
LIU Li-li;TIAN Jing;LIU Guang-xin;ZHANG Shuai;TIAN Bo-wen;AI Yan-ting(Faculty of Aero Engine,Shenyang Aerospace University,Shenyang 110136,China;NO.1 Military Representative Office of the Equipment Department of PLA Air Force in Shenyang,Shenyang 110850,China;The Chinese People′s Liberation Army Unit 93318,Tieling 112300,China)
出处
《沈阳航空航天大学学报》
2020年第2期1-9,共9页
Journal of Shenyang Aerospace University
基金
国家自然科学基金(项目编号:11702177)
辽宁省自然科学基金(项目编号:20180550560)。
关键词
中介轴承
声发射
多尺度分解
量子熵
特征提取
inter-shaft bearing
acoustic emission
multiscale decomposition
quantum entropy
feature extraction
