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Volumn 8, Issue 2, 2013, Pages 27-41

Fault detection and diagnosis based on extensions of PCA

Author keywords

Fault detection; Faulty sensor identification index; Principal component analysis; Residual error; Y index

Indexed keywords


EID: 84893731938     PISSN: 18022308     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (13)
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  • 4
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    • (1996) Computers & Chemistry Engineering , vol.20 , Issue.1
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  • 5
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    • Reconstruction-based fault identification using a combined index
    • YUE, HH. and QIN, SJ. Reconstruction-based fault identification using a combined index. Industrial & Engineering Chemistry Research, 2001, vol. 40, no. 20, p. 4403-4414.
    • (2001) Industrial & Engineering Chemistry Research , vol.40 , Issue.20 , pp. 4403-4414
    • Yue, H.H.1    Qin, S.J.2
  • 7
    • 33745760492 scopus 로고    scopus 로고
    • Application of MSPCA to sensor fault diagnosis
    • XU, T. and WANG, Q. Application of MSPCA to sensor fault diagnosis. Acta Automatica Sinica, 2006, vol. 32, no. 3, p. 417-421.
    • (2006) Acta Automatica Sinica , vol.32 , Issue.3 , pp. 417-421
    • Xu, T.1    Wang, Q.2
  • 9
    • 2942670365 scopus 로고    scopus 로고
    • Detection and diagnosis of AHU sensor faults using principal component analysis method
    • WANG, S. and XIAO, F. Detection and diagnosis of AHU sensor faults using principal component analysis method. Energy Conversion and Management, 2004, vol. 45, no. 17, p. 2667-2686.
    • (2004) Energy Conversion and Management , vol.45 , Issue.17 , pp. 2667-2686
    • Wang, S.1    Xiao, F.2
  • 11
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    • An adaptive approach based on KPCA and SVM for real-time fault diagnosis of HVCBs
    • NI, J., ZHANG, C. and YANG, SX. An adaptive approach based on KPCA and SVM for real-time fault diagnosis of HVCBs. IEEE Transactions on Power Delivery, 2011, vol. 26, no. 3, p. 1960-1971.
    • (2011) IEEE Transactions On Power Delivery , vol.26 , Issue.3 , pp. 1960-1971
    • Ni, J.1    Zhang, C.2    Yang, S.X.3
  • 12
    • 0344980778 scopus 로고    scopus 로고
    • Sensor Validation and Reconstruction for Building Central Chilling Systems Based on Principal Component Analysis
    • WANG, S., CHEN, Y. Sensor Validation and Reconstruction for Building Central Chilling Systems Based on Principal Component Analysis. Energy Conversion and Management, 2004, vol. 45, no. 5, p. 673-695.
    • (2004) Energy Conversion and Management , vol.45 , Issue.5 , pp. 673-695
    • Wang, S.1    Chen, Y.2
  • 13
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    • Sensor Faults: Detection methods and prevalence in real-world datasets
    • article no. 23
    • SHARMA, AB., GOLUBCHIK, L. and GOVINDAN, R. Sensor Faults: Detection methods and prevalence in real-world datasets. ACM Transactions on Sensor Networks, 2010, vol. 6, no. 3, article no. 23.
    • (2010) ACM Transactions On Sensor Networks , vol.6 , Issue.3
    • Sharma, A.B.1    Golubchik, L.2    Govindan, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.