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

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	Blind source separation of rotor fault information based on maxim signal noise ratio
	Miao, Feng 1,2; Zhao, Rongzhen 1
刊名	Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)
	2013
卷号	44 期号:SUPPL.1 页码:205-210
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
ISSN号	16727207
英文摘要	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.
语种	中文
出版者	Central South University of Technology
内容类型	期刊论文
源URL	[http://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
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.