메뉴 건너뛰기




Volumn 40, Issue 10, 2013, Pages 4137-4145

Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN

Author keywords

Acoustic emission; Ball bearing; Hilbert Hung transform; KNN; Statistical feature

Indexed keywords

EMPIRICAL MODE DECOMPOSITION; FAULT DIAGNOSIS TECHNIQUE; HILBERT; HILBERT HUANG TRANSFORMS; INTRINSIC MODE FUNCTIONS; K NEAREST NEIGHBOR ALGORITHM; KNN; STATISTICAL FEATURES;

EID: 84875368599     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.01.033     Document Type: Article
Times cited : (341)

References (21)
  • 1
    • 33646504639 scopus 로고    scopus 로고
    • A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size
    • M. Abdullah, Al-Ghamd, and D. Mba A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size Mechanical Systems and Signal Processing 20 2006 1537 1571
    • (2006) Mechanical Systems and Signal Processing , vol.20 , pp. 1537-1571
    • Abdullah, M.1    Al-Ghamd2    Mba, D.3
  • 2
    • 84255175580 scopus 로고    scopus 로고
    • An affinity-based new local distance function and similarity measure for kNN algorithm
    • G. Bhattacharya, K. Ghosh, and A.S. Chowdhury An affinity-based new local distance function and similarity measure for kNN algorithm Pattern Recognition Letters 33 2012 356 363
    • (2012) Pattern Recognition Letters , vol.33 , pp. 356-363
    • Bhattacharya, G.1    Ghosh, K.2    Chowdhury, A.S.3
  • 3
    • 77955197081 scopus 로고    scopus 로고
    • Defect diagnosis for rolling element bearings using acoustic emission
    • 061012-1
    • Y. He, X. Zhang, and M.I. Friswell Defect diagnosis for rolling element bearings using acoustic emission Journal of Vibration and Acoustics 131 2009 061012-1
    • (2009) Journal of Vibration and Acoustics , vol.131
    • He, Y.1    Zhang, X.2    Friswell, M.I.3
  • 4
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
    • N. Huang, Z. Shen, S. Long, M. Wu, H. Shih, and Q. Zheng The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis Proceedings of the Royal Society of London Series A 454 1998 903 995
    • (1998) Proceedings of the Royal Society of London Series A , vol.454 , pp. 903-995
    • Huang, N.1    Shen, Z.2    Long, S.3    Wu, M.4    Shih, H.5    Zheng, Q.6
  • 5
    • 84860366061 scopus 로고    scopus 로고
    • A fault diagnosis scheme of rolling element bearing based on near-field acoustic holography and gray level co-occurrence matrix
    • W. Jiang, W. Lu, H. Wu, and J. Hou A fault diagnosis scheme of rolling element bearing based on near-field acoustic holography and gray level co-occurrence matrix Journal of Sound and Vibration 331 2012 3663 3674
    • (2012) Journal of Sound and Vibration , vol.331 , pp. 3663-3674
    • Jiang, W.1    Lu, W.2    Wu, H.3    Hou, J.4
  • 6
    • 81855164825 scopus 로고    scopus 로고
    • An improved K-nearest-neighbor algorithm for text categorization
    • Shengyi. Jiang, Guansong. Pang, Wu. Meiling, and Limin. Kuang An improved K-nearest-neighbor algorithm for text categorization Expert Systems with Applications 39 2012 1503 1509
    • (2012) Expert Systems with Applications , vol.39 , pp. 1503-1509
    • Jiang, S.1    Pang, G.2    Meiling, W.3    Kuang, L.4
  • 7
    • 63449085547 scopus 로고    scopus 로고
    • Gear crack level identification based on weighted K nearest neighbor classification algorithm
    • Yaguo. Lei, and Ming.J. Zuo Gear crack level identification based on weighted K nearest neighbor classification algorithm Mechanical Systems and Signal Processing 23 2009 1535 1547
    • (2009) Mechanical Systems and Signal Processing , vol.23 , pp. 1535-1547
    • Lei, Y.1    Zuo, M.J.2
  • 8
    • 77956528213 scopus 로고    scopus 로고
    • Metric learning to rank
    • Haifa, Israel
    • McFee B.; & Lanckriet G. (2010). Metric learning to rank. In Proceedings of the ICML (pp. 775-782). Haifa, Israel.
    • (2010) Proceedings of the ICML , pp. 775-782
    • McFee, B.1    Lanckriet, G.2
  • 9
    • 77950189563 scopus 로고    scopus 로고
    • A hybrid classification method of k nearest neighbor, Bayesian methods and genetic algorithm
    • Mehmet, I. Cigdem, and A. Mutlu A hybrid classification method of k nearest neighbor, Bayesian methods and genetic algorithm Expert Systems with Applications 37 2010 5061 5067
    • (2010) Expert Systems with Applications , vol.37 , pp. 5061-5067
    • Mehmet1    Cigdem, I.2    Mutlu, A.3
  • 12
    • 0037345899 scopus 로고    scopus 로고
    • Artificial neural network based fault diagnostics of rolling element bearings using time-domain features
    • B. Samanta, and K.R. Al-Balushi Artificial neural network based fault diagnostics of rolling element bearings using time-domain features Mechanical Systems and Signal Processing 17 2 2003 317 328
    • (2003) Mechanical Systems and Signal Processing , vol.17 , Issue.2 , pp. 317-328
    • Samanta, B.1    Al-Balushi, K.R.2
  • 14
    • 78650687670 scopus 로고    scopus 로고
    • Effect of number of features on classification of roller bearing faults using SVM and PSVM
    • V. Sugumaran, and K.I. Ramachandran Effect of number of features on classification of roller bearing faults using SVM and PSVM Expert Systems with Applications 38 2011 4088 4096
    • (2011) Expert Systems with Applications , vol.38 , pp. 4088-4096
    • Sugumaran, V.1    Ramachandran, K.I.2
  • 15
    • 0033336360 scopus 로고    scopus 로고
    • A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings
    • N. Tandon, and A. Chaudhary A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings Tribology International 32 1999 469 480
    • (1999) Tribology International , vol.32 , pp. 469-480
    • Tandon, N.1    Chaudhary, A.2
  • 17
    • 28744446722 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on multi-class support vector machines
    • B.S. Yang, T. Han, and W.W. Hwang Fault diagnosis of rotating machinery based on multi-class support vector machines Journal of Mechanical Science and Technology 19 3 2005 846 859
    • (2005) Journal of Mechanical Science and Technology , vol.19 , Issue.3 , pp. 846-859
    • Yang, B.S.1    Han, T.2    Hwang, W.W.3
  • 19
    • 33845414646 scopus 로고    scopus 로고
    • Fault diagnosis based on support vector machines with parameter optimization by artificial immunization algorithm
    • S.F. Yuan, and F.L. Chu Fault diagnosis based on support vector machines with parameter optimization by artificial immunization algorithm Mechanical Systems and Signal Processing 21 3 2007 1318 1330
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.3 , pp. 1318-1330
    • Yuan, S.F.1    Chu, F.L.2
  • 20
    • 33846837272 scopus 로고    scopus 로고
    • Fault diagnosis based on particle optimization and support vector machines
    • S.F. Yuan, and F.L. Chu Fault diagnosis based on particle optimization and support vector machines Mechanical Systems and Signal Processing 21 4 2007 1787 1798
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.4 , pp. 1787-1798
    • Yuan, S.F.1    Chu, F.L.2
  • 21
    • 81855170055 scopus 로고    scopus 로고
    • Induction motors bearing fault detection using pattern recognition techniques
    • J. Zarei Induction motors bearing fault detection using pattern recognition techniques Expert Systems with Applications 39 2012 68 73
    • (2012) Expert Systems with Applications , vol.39 , pp. 68-73
    • Zarei, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.