Application of PCA feature extraction and SVM multi-classification on sensor fault diagnosis

Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing

Volumn 25, Issue 1, 2010, Pages 111-116

  Peng, Hongxing ^a,b   Chen, Xiangguang ^a   Xu, Wei ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b HENAN POLYTECHNIC UNIVERSITY   (China)

Author keywords

Feature extraction; Principle component analysis; Sensor fault diagnosis; Support vector machines; Wavelet packet decomposition

Indexed keywords

EID: 77950344786     PISSN: 10049037     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Ma J, Zhang J, Yan Y. Wavelet transform based sensor validation[C]//IEE Colloquium on Intelligent and Self-Validating Sensors. Oxford: [s.n.], 1999: 101-104.
2. 2004, 34(3): 491-494.
3. 2007, 39(1): 8-10.
4. 2007, 27(sup2): 108-111.
5. Jackson J E. A user's guide to principal components[M]. Hoboken, New Jersey: John Wiley & Sons Inc., 2003: 1-6.
6. Fu Xiao. Sensor fault detection and diagnosis of air handling units[D]. Hongkong: Department of Building Services Engineering, The Hongkong Polytechnic University, 2004.
7. 2000, 26(1): 32-42.
8. 2006: 214-219.
9. Ben F, Liu J. Binary tree of SVM: A new fast multiclass training and classification algorithm[J]. IEEE Transactions on Neural Networks, 2006, 17(3): 696-704.
10. 2006, 21(3): 334-339.