M.K. Pradhan, Pankaj Gupta.Fault detection using vibration signal analysis of rolling element bearing in time domain using an innovative time scalar indicator[J].Int. J. of Manufacturing Research,2017.

Yi Wang,Dan Liu,Guanghua Xu,Kuosheng Jiang.An image dimensionality reduction method for rolling bearing fault diagnosis based on singular value decomposition[J].Proceedings of the Institution of Mechanical Engi,2016(11).

Hongmei Liu,Xuan Wang,Chen Lu.Rolling bearing fault diagnosis based on LCD–TEO and multifractal detrended fluctuation analysis[J].Mechanical Systems and Signal Processing,2015.

Debashis Paul,Alexander Aue.Random matrix theory in statistics: A review[J].Journal of Statistical Planning and Inference,2014.

Thomas Guhr,Axel Müller–Groeling,Hans A. Weidenmüller.Random-matrix theories in quantum physics: common concepts[J].Physics Reports,1998(4).

Craig A. Tracy,Harold Widom.Level-spacing distributions and the Airy kernel[J].Communications in Mathematical Physics,1994(1).

陈保家,汪新波,严文超,田红亮,肖文荣,陈法法,刘浩涛.采用品质因子优化和子带重构的共振稀疏分解滚动轴承故障诊断方法[J].西安交通大学学报,2018(04).

孟宗,李晶,龙海峰,潘作舟.基于压缩信息特征提取的滚动轴承故障诊断方法[J].中国机械工程,2017(07).

唐贵基,王晓龙.变分模态分解方法及其在滚动轴承早期故障诊断中的应用[J].振动工程学报,2016(04).

王红军,汪亮.基于多域空间状态特征的高端装备运行可靠性评价[J].仪器仪表学报,2016(04).

郑红,周雷,杨浩.基于小波包分析与多核学习的滚动轴承故障诊断[J].航空动力学报,2015(12).

严英杰,盛戈皞,王辉,刘亚东,陈玉峰,江秀臣,郭志红.基于高维随机矩阵大数据分析模型的输变电设备关键性能评估方法[J].中国电机工程学报,2016(02).

古莹奎,承姿辛,朱繁泷.基于主成分分析和支持向量机的滚动轴承故障特征融合分析[J].中国机械工程,2015(20).

魏大千,王波,刘涤尘,罗金号,冀星沛.高维随机矩阵描述下的量测大数据建模与异常数据检测方法[J].中国电机工程学报,2015(S1).

宋涛,汤宝平,邓蕾.动态增殖流形学习算法在机械故障诊断中的应用[J].振动与冲击,2014(23).