Mechanical fault diagnose, diesel engine based on bispectrum and support vector machines

Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009

Volumn , Issue , 2009, Pages 425-429

  Xiao, Yunkui ^a   Mei, Jianmin ^a   Zeng, Ruili ^a   Zhao, Huimin ^a   Tang, Li ^a   Huang, Huafei ^a  

^a MILITARY TRANSPORTATION UNIVERSITY   (China)

Author keywords

Bispectrum; Diagnose; Keywords diesel engine; Support vector machines

Indexed keywords

BISPECTRAL FEATURES; BISPECTRUM; DIAGNOSE; FAULT SAMPLE; KEYWORDS-DIESEL ENGINE; MECHANICAL FAULTS; PARALLEL LINE; SIGNAL FEATURES; TRAINING SAMPLE;

COMPUTER SCIENCE; ENGINES; INFORMATION TECHNOLOGY; SUPPORT VECTOR MACHINES; VECTORS;

DIESEL ENGINES;

EID: 70449115637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSIT.2009.5234916     Document Type: Conference Paper

References (5)

1. Yunkui Xiao. "The Automobile Fault Diagnosis," Beijing Institute of Technology Press, 2006, pp.199-210.
2. Xiong liangcai, Shi Tielin and Yang Shuzi. "Bispectrum Analysis in Fault Diagnosis of Gears," Journal of Southwest Jiaotong University, Nov. 2001, pp.175-176.
3. Changbo Li. "Research on Multi-resource Separation of Ship Noise Based on High-order Spectrum and Cyclic Spectrum, " Master's Degree Thesis Northwest Industry University, 2005, pp.12-13.
4. Chenjing Xiao and Aihua Li. "Research on Diagnosis Method of Diesel Fault Based on SVM," Control & Automation, May. 2007,pp.227-228.
5. Alfonso Rojas and Asoke K Nandi. "Detection And Classification of Rolling-Element Bearing Faults Using Support Vector Machines, " Machine Learning for Signal Processing, IEEE Workshop on, 2005, pp.153-154.