메뉴 건너뛰기




Volumn 1, Issue , 2010, Pages 526-530

A New fault diagnosis system for train bearingsbased on PCA and ACO

Author keywords

Discretization; Fault diagnosis; PCA and ACO classifier; Train bearing

Indexed keywords

BEARING FAULT DIAGNOSIS; CLASSIFICATION RULES; DATA DIMENSIONS; DISCRETIZATIONS; EIGENVECTORS; FAULT DIAGNOSIS; FAULT DIAGNOSIS SYSTEMS; FREQUENCY DOMAINS; HEURISTIC FUNCTIONS; NEW SYSTEM; PRE-TREATMENT; PRINCIPLE COMPONENT; PROBABILITY FUNCTIONS; STATISTICAL FEATURES; VIBRATION SIGNAL; WORKING STATE;

EID: 77953050872     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICLSIM.2010.5461366     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 1
    • 10244259183 scopus 로고    scopus 로고
    • PCA-based feature selection scheme for machine defect classification
    • A. MALHI, PCA-based feature selection scheme for machine defect classification, IEEE Transaction on Instrumentation and Measurement, Vol.53, No.6, pp.1517-1525, 2004.
    • (2004) IEEE Transaction on Instrumentation and Measurement , vol.53 , Issue.6 , pp. 1517-1525
    • Malhi, A.1
  • 2
    • 0035271127 scopus 로고    scopus 로고
    • Detection of incipient tooth defects in helical gears using multivariate statistics
    • N. BAYDAR, Detection of incipient tooth defects in helical gears using multivariate statistics, Mechanical Systems and Signal Processing, Vol.15, No.2, pp.303-321, 2001.
    • (2001) Mechanical Systems and Signal Processing , vol.15 , Issue.2 , pp. 303-321
    • Baydar, N.1
  • 3
    • 2442612945 scopus 로고    scopus 로고
    • An ant colony classifier system: Application to some process engineering problems
    • P. S. Shelokar, An ant colony classifier system: application to some process engineering problems, Computers and Chemical Engineering, Vol.28, No.9, pp.1577-1584, 2004.
    • (2004) Computers and Chemical Engineering , vol.28 , Issue.9 , pp. 1577-1584
    • Shelokar, P.S.1
  • 5
    • 34948865765 scopus 로고    scopus 로고
    • Classification with Ant Colony Optimization
    • D. Martens, Classification with Ant Colony Optimization, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 5, pp.651-665, 2007.
    • (2007) IEEE Transactions on Evolutionary Computation , vol.11 , Issue.5 , pp. 651-665
    • Martens, D.1
  • 6
    • 77953070759 scopus 로고    scopus 로고
    • Principle component representations or machine noise monitoring
    • Q. B. He, Principle component representations or machine noise monitoring, Optics and Precision Engineering, Vol.14, No.6, pp.1094-1099, 2006.
    • (2006) Optics and Precision Engineering , vol.14 , Issue.6 , pp. 1094-1099
    • He, Q.B.1
  • 10
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • T. G. Dietterich, Approximate statistical tests for comparing supervised classification learning algorithms, Neural Computation, Vol. 10, No. 7, pp.1895-1923, 1998.
    • (1998) Neural Computation , vol.10 , Issue.7 , pp. 1895-1923
    • Dietterich, T.G.1
  • 11
    • 0036466502 scopus 로고    scopus 로고
    • Dynamic process fault monitoring based on neural network and PCA
    • J. Chen, Dynamic process fault monitoring based on neural network and PCA, Journal of Process Control, Vol.12, No.2, pp.277-289, 2002.
    • (2002) Journal of Process Control , vol.12 , Issue.2 , pp. 277-289
    • Chen, J.1
  • 12
    • 0032049479 scopus 로고    scopus 로고
    • Joint diagnosis of process and sensor faults using principal component analysis
    • R. Dunia, Joint diagnosis of process and sensor faults using principal component analysis, Control Engineering Practice, Vol.6, No.4, pp457-469, 1998.
    • (1998) Control Engineering Practice , vol.6 , Issue.4 , pp. 457-469
    • Dunia, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.