Roller bearing fault identification based on slice bi-spectrum analysis

Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)

Volumn 39, Issue 6, 2005, Pages 826-829

  Sun, Hui ^a   Zhao, Jing ^a   Zhu, Shan An ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Bi spectrum analysis; Diagonal slices; Fault identification; Resonance demodulation; Roller bearing

Indexed keywords

MATHEMATICAL TRANSFORMATIONS; RESONANCE; ROLLER BEARINGS; SPECTRUM ANALYSIS;

BISPECTRUM ANALYSIS; DIAGONAL SLICES; FAULT IDENTIFICATION; HILBERT TRANSFORM; RESONANCE DEMODULATION; ROLLER BEARING FAULT;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 23044492204     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. DING Kang, CHEN Jian-lin, SU Xiang-rong. Development in vibration signal analysis and processing methods [J]. Journal of Vibration Engineering, 2003, 16(1): 1-10.
2. ZHAO Yang-ming, HUANG Zhi-yao, WANG Bao-liang. Applications of higher-order statistics to the study of pressure fluctuation signal of gas-solid fluidized bed [J]. Journal of Zhejiang University: Engineering Science, 2002, 36(6): 680-684.
3. ESHLEMAN R L. The role of sum and difference frequencies in rotating machininery fault diagnosis [A]. Second International Conference on Vibrations in Rotating Machinery [C]. Churchill college, London: [s.n.], 1980: 145-149.
4. RAGHUVEER M R. Time-domain approaches to quadratic phase coupling estimation [J]. IEEE Transaction on Automatic Control, 1990, 35(1): 48-56.