Application of PCA method and FCM clustering to the fault diagnosis of excavator's hydraulic system

Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007

Volumn , Issue , 2007, Pages 1635-1639

  He, Xiangyu ^a   He, Qinghua ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Excavator; Fault diagnosis; Fuzzy c means (FCM) clustering; Hydraulic system; Principal component analysis (PCA)

Indexed keywords

EXCAVATORS; FAILURE ANALYSIS; FUZZY CLUSTERING; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS;

FUZZY C-MEANS (FCM) CLUSTERING; HYDRAULIC SYSTEM;

HYDRAULICS;

EID: 40649083595     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAL.2007.4338834     Document Type: Conference Paper

References (14)

1. Qinghua He, Daqing Zhang, Peng Hao, and Jianxin Zhu, "Model and experimental research on control of hydraulic excavator's manipulator," Journal of Central South University (Science and Technology), vol. 37, no. 7, pp. 542-546, 2006.
2. J. M. Lattin, J. D. Carroll, and P. E. Grecen, Analyzing Multivariate Data. Beijing, China: Mechanical Industry Press, 2003.
3. Huiwen Wang, Partial least squares regression approach and application. Beijing, China: National Defense Industry Press, 1999.
4. L. H. Chiang, E. L. Russell, and R. D. Braatz, Fault detection and diagnosis in industrial systems. London, UK: Springer-Verlag London Limited, 2001.
5. L. H. Chiang, E. L. Russell, and R. D. Braatz, "Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis," Chemometrics and Intelligent Laboratory Systems, 2000, vol. 51, no. 1, pp. 81-93.
6. J. H. Chen and K. C. Liu, "On-line batch process monitoring using dynamic PCA and dynamic PLS models," Chemical Engineering Science, 2002, vol. 57, no. 1, pp. 63-75.
7. R Isermann, Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance. Berlin. Germany: Springer Berlin Heidelberg, 2006.
8. C. K. Lee, S. W. Choi, and I. B. Lee, "Sensor fault identification based on time-lagged PCA in dynamic processes," Chemometrics and Intelligent Laboratory Systems, 2004, vol. 70, no. 2, pp. 165-178.
9. Achmad Widodo and Bo-Suk Yang, "Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors." Expert Systems with Applications, 2007, vol. 33, no. 1, pp. 241-250
10. D. Zogg, E. Shafai, and H.P. Geering, "Fault diagnosis for heat pumps with parameter identification and clustering," Control Engineering Practice. 2006, vol. 14, no. 12, pp. 1435-1444.
11. Yuna Pan, Jie Han, and Zhinong Li. "Vector power spectrum-fuzzy c means clustering method for the fault diagnosis of rotating machine," Turbine Technology, 2006, vol. 48, no. 3, pp. 212-214.
12. W. Marquis-Favre, E. Bideaux, and S. Scavarda, "A planar mechanical library in the AMESim simulation software. Part I: Formulation of dynamics equations,". Simulation Modeling Practice and Theory. 2006, vol. 14, no. 1, pp. 25-46.
13. IMAGINE inc., AMESim. http://www.amesim.com, 2006.
14. The MathWorks Inc., Matlah. http://www.mathworks.com, 2006.