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Volumn 18, Issue 3, 2008, Pages 327-331

Fault diagnosis of a mine hoist using PCA and SVM techniques

Author keywords

fault diagnosis; mine hoist; principal component analysis; support vector machines

Indexed keywords

ELECTRIC FAULT LOCATION; FEATURE EXTRACTION; GEAR MANUFACTURE; HOISTS; HYDRAULIC EQUIPMENT; HYDRAULIC MACHINERY; IMAGE RETRIEVAL; MINE HOISTS; MINES; MINING; SUPPORT VECTOR MACHINES; WIRE ROPE;

EID: 58649084371     PISSN: 10061266     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1006-1266(08)60069-3     Document Type: Article
Times cited : (52)

References (10)
  • 2
    • 33846061200 scopus 로고    scopus 로고
    • Research on diagnosis for hoist system based on artificial neural network
    • Liu K.W., and Yang Z.J. Research on diagnosis for hoist system based on artificial neural network. Journal of Taiyuan University of Technology 33 4 (2002) 441-443
    • (2002) Journal of Taiyuan University of Technology , vol.33 , Issue.4 , pp. 441-443
    • Liu, K.W.1    Yang, Z.J.2
  • 3
    • 58649105610 scopus 로고    scopus 로고
    • Application on the intelligent fault diagnosis prediction system of the mine hoist
    • Wang Z.J., Wang Y.C., Liu T., et al. Application on the intelligent fault diagnosis prediction system of the mine hoist. Journal of China Coal Society 9 29 (2004) 157-161
    • (2004) Journal of China Coal Society , vol.9 , Issue.29 , pp. 157-161
    • Wang, Z.J.1    Wang, Y.C.2    Liu, T.3
  • 5
    • 2342505830 scopus 로고    scopus 로고
    • Fault diagnosis based on fisher discriminated analysis and support vector machines
    • Chiang L.H., Kotanchek M.E., and Kordon A.K. Fault diagnosis based on fisher discriminated analysis and support vector machines. Computers and Chemical Engineering 28 (2004) 1389-1401
    • (2004) Computers and Chemical Engineering , Issue.28 , pp. 1389-1401
    • Chiang, L.H.1    Kotanchek, M.E.2    Kordon, A.K.3
  • 6
    • 0347526092 scopus 로고    scopus 로고
    • Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection
    • Samanta B., Al-Balushi K.R., and Al-Araimi S.A. Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection. Engineering Applications of Artificial Intelligence 16 (2003) 657-665
    • (2003) Engineering Applications of Artificial Intelligence , Issue.16 , pp. 657-665
    • Samanta, B.1    Al-Balushi, K.R.2    Al-Araimi, S.A.3
  • 7
    • 0035153670 scopus 로고    scopus 로고
    • Support vector machines for detection and characterisation of rolling element bearing faults
    • Jack L.B., and Nandi A.K. Support vector machines for detection and characterisation of rolling element bearing faults. Journal of Mechanical Engineering Science 9 (2001) 1065-1074
    • (2001) Journal of Mechanical Engineering Science , Issue.9 , pp. 1065-1074
    • Jack, L.B.1    Nandi, A.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.