Blind source separation of rotor fault information based on maxim signal noise ratio

	Blind source separation of rotor fault information based on maxim signal noise ratio
	Miao, Feng 1,2; Zhao, Rongzhen 1
	2013
发表期刊	Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)
ISSN	16727207
卷号	44 期号:SUPPL.1 页码:205-210
摘要	In order to separate rotor vibration sources form sensor signals rapidly and effectively, a novel method was proposed based on maxim signal noise ratio for blind source separation of rotor fault information. The signal separation method based on the maximum signal-to-noise ratio is a blind source separation method. The algorithm uses statistics independent signals when complete separation of the highest SNR is used as separation standard, and it has a very low computational complexity. The test results show that the maximum signal-to-noise ratio based on blind source separation method can quickly and effectively isolate target vibration source signal, providing a new method and thinking for the rotor vibration signal of monitoring and fault diagnosis.
关键词	Rotors Signal noise measurement Signal to noise ratio Independent signals Low computational complexity Misalignment Rotor vibrations Signal separation Signal-noise ratio Target vibrations Unbalance
收录类别	EI
语种	中文
出版者	Central South University of Technology
EI入藏号	20133516679567
EI主题词	Blind source separation
EI分类号	601.2 Machine Components - 716.1 Information Theory and Signal Processing
来源库	Compendex
分类代码	601.2 Machine Components - 716.1 Information Theory and Signal Processing
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/113477
专题	兰州理工大学
作者单位	1.Key Laboratory of Digital Manufacturing Technology and Application, Ministry of Education, Lanzhou University of Technology, Lanzhou 730050, China; 2.Gansu Institute of Metrology Science, Lanzhou 730070, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Miao, Feng,Zhao, Rongzhen. Blind source separation of rotor fault information based on maxim signal noise ratio[J]. Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology),2013,44(SUPPL.1):205-210.
APA	Miao, Feng,&Zhao, Rongzhen.(2013).Blind source separation of rotor fault information based on maxim signal noise ratio.Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology),44(SUPPL.1),205-210.
MLA	Miao, Feng,et al."Blind source separation of rotor fault information based on maxim signal noise ratio".Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) 44.SUPPL.1(2013):205-210.