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Volumn , Issue , 2013, Pages 4404-4409

Novel failure prognostics approach with dynamic thresholds for machine degradation

Author keywords

[No Author keywords available]

Indexed keywords

DATA PREPROCESSING; DEGRADING BEHAVIOR; DYNAMIC THRESHOLD; EXTREME LEARNING MACHINE; FAILURE PROGNOSTICS; FAILURE THRESHOLDS; REMAINING USEFUL LIVES; RUL ESTIMATIONS;

EID: 84893551138     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2013.6699844     Document Type: Conference Paper
Times cited : (47)

References (29)
  • 5
    • 58049190180 scopus 로고    scopus 로고
    • Rotating machinery prognostic:State of the art, challenges and opportunities
    • A. Heng, S. Zhang, A.-C.-C. Tan, and J.Matwew, "Rotating machinery prognostic: State of the art, challenges and opportunities," Mechanical Systems and Signal Processing, vol. 23, no. 3, pp. 724-739, 2009.
    • (2009) Mechanical Systems and Signal Processing , vol.23 , Issue.3 , pp. 724-739
    • Heng, A.1    Zhang, S.2    Tan, A.-C.-C.3    Matwew, J.4
  • 7
    • 76849109288 scopus 로고    scopus 로고
    • A prognostics and health management roadmap for information and electronics-rich systems
    • M. Pecht and R. Jaai, "A prognostics and health management roadmap for information and electronics-rich systems," Microelectronics Reliability, vol. 50, pp. 317-323, 2010.
    • (2010) Microelectronics Reliability , vol.50 , pp. 317-323
    • Pecht, M.1    Jaai, R.2
  • 9
    • 79551492286 scopus 로고    scopus 로고
    • Reducing arbitrary choices in model building for prognostics:An approach by applying parsimony principle on an evolving neuro-fuzzy system
    • M. El-Koujok, R. Gouriveau, and N. Zerhouni, "Reducing arbitrary choices in model building for prognostics: An approach by applying parsimony principle on an evolving neuro-fuzzy system," Microelectronics Reliability, vol. 51, pp. 310-320, 2011.
    • (2011) Microelectronics Reliability , vol.51 , pp. 310-320
    • El-Koujok, M.1    Gouriveau, R.2    Zerhouni, N.3
  • 10
    • 77950641714 scopus 로고    scopus 로고
    • Prognostics in switching systems:Evidential markovian classification of real-time neuro-fuzzy predictions
    • Macao, China
    • E. Ramasso and R. Gouriveau, "Prognostics in switching systems: Evidential markovian classification of real-time neuro-fuzzy predictions," in Prognostics and Health Management Conference, Macao, China, 2010.
    • (2010) Prognostics and Health Management Conference
    • Ramasso, E.1    Gouriveau, R.2
  • 11
    • 84885852883 scopus 로고    scopus 로고
    • Joint prediction of continuous and discrete states in time-series based on belief functions
    • E. Ramasso, M. Rombaut, and N. Zerhouni, "Joint prediction of continuous and discrete states in time-series based on belief functions," IEEE Tran. on Cybernetics, Part B: Cybernetics, vol. 43, no. 1, pp. 37-50, 2013.
    • (2013) IEEE Tran. on Cybernetics, Part B: Cybernetics , vol.43 , Issue.1 , pp. 37-50
    • Ramasso, E.1    Rombaut, M.2    Zerhouni, N.3
  • 12
    • 84868250681 scopus 로고    scopus 로고
    • Robust, reliable and applicable tool wear monitoring and prognostic:Approach based on an improved-extreme learning machine
    • Denver, CO, USA
    • K. Javed, R. Gouriveau, N. Zerhouni, R. Zemouri, and X. Li, "Robust, reliable and applicable tool wear monitoring and prognostic: approach based on an improved-extreme learning machine," in IEEE Conf. on Prognostics and Health Management, Denver, CO, USA, 2012.
    • (2012) IEEE Conf. on Prognostics and Health Management
    • Javed, K.1    Gouriveau, R.2    Zerhouni, N.3    Zemouri, R.4    Li, X.5
  • 13
    • 10944272650 scopus 로고    scopus 로고
    • Extreme learning machine:A new learning scheme of feedforward neural networks
    • Budapest, Hungary
    • G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: A new learning scheme of feedforward neural networks," in Int. Joint Conf. on Neural Networks, Budapest, Hungary, 2004.
    • (2004) Int. Joint Conf. on Neural Networks
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 14
    • 50149114113 scopus 로고    scopus 로고
    • Artificial wavelet neural network and its application in neuro-fuzzy models
    • A. Banakar and M. F. Azeem, "Artificial wavelet neural network and its application in neuro-fuzzy models," Applied Soft Computing, vol. 8, no. 4, pp. 1463-1485, 2008.
    • (2008) Applied Soft Computing , vol.8 , Issue.4 , pp. 1463-1485
    • Banakar, A.1    Azeem, M.F.2
  • 15
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • S. L. Chiu, "Fuzzy model identification based on cluster estimation," Journal of intelligent &Fuzzy systems, vol. 2, no. 3, pp. 267-278, 1994.
    • (1994) Journal of Intelligent &Fuzzy Systems , vol.2 , Issue.3 , pp. 267-278
    • Chiu, S.L.1
  • 18
    • 78651362840 scopus 로고    scopus 로고
    • Modeling approaches for prognostics and health management of electronics
    • S. Kumar and M. Pecht, "Modeling approaches for prognostics and health management of electronics," Int. Jour. of Performability Engineering, vol. 6, no. 5, p. 467, 2010.
    • (2010) Int. Jour. of Performability Engineering , vol.6 , Issue.5 , pp. 467
    • Kumar, S.1    Pecht, M.2
  • 20
    • 70449100889 scopus 로고    scopus 로고
    • A fusion prognostics method for remaining useful life prediction of electronic products
    • India
    • S. Cheng and M. Pecht, "A fusion prognostics method for remaining useful life prediction of electronic products," in IEEE Conf. on Automation Science and Engineering, India, 2009, pp. 102-107.
    • (2009) IEEE Conf. on Automation Science and Engineering , pp. 102-107
    • Cheng, S.1    Pecht, M.2
  • 21
    • 84870563115 scopus 로고    scopus 로고
    • Connexionist-systems-based long term prediction approaches for prognostics
    • R. Gouriveau and N. Zerhouni, "Connexionist-systems-based long term prediction approaches for prognostics," IEEE Tran. on Reliability, vol. 61, no. 4, pp. 909-920, 2012.
    • (2012) IEEE Tran. on Reliability , vol.61 , Issue.4 , pp. 909-920
    • Gouriveau, R.1    Zerhouni, N.2
  • 23
    • 84856214465 scopus 로고    scopus 로고
    • Wavenet ability assessment in comparison to ann for predicting the maximum surface settlement caused by tunneling
    • A. Pourtaghi and M. Lotfollahi-Yaghin, "Wavenet ability assessment in comparison to ann for predicting the maximum surface settlement caused by tunneling," Tunneling and Underground Space Technology, vol. 28, pp. 257-271, 2012.
    • (2012) Tunneling and Underground Space Technology , vol.28 , pp. 257-271
    • Pourtaghi, A.1    Lotfollahi-Yaghin, M.2
  • 24
    • 0034284052 scopus 로고    scopus 로고
    • Initialization by selection for wavelet network training
    • Y. Oussar and G. Dreyfus, "Initialization by selection for wavelet network training," Neurocomputing, vol. 34, no. 1-4, pp. 131-143, 2000.
    • (2000) Neurocomputing , vol.34 , Issue.1-4 , pp. 131-143
    • Oussar, Y.1    Dreyfus, G.2
  • 25
    • 0025536870 scopus 로고
    • Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
    • San Diego, CA, USA
    • D. Nguyen and B. Widrow, "Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights," in Proceedings of the Int. Joint Conference on Neural Networks IJCNN, San Diego, CA, USA, 1990.
    • (1990) Proceedings of the Int. Joint Conference on Neural Networks IJCNN
    • Nguyen, D.1    Widrow, B.2
  • 28
    • 24044470614 scopus 로고    scopus 로고
    • Clustering of time series data-A survey
    • T. Warren Liao, "Clustering of time series data-A survey," Pattern Recognition, vol. 38, no. 11, pp. 1857-1874, 2005.
    • (2005) Pattern Recognition , vol.38 , Issue.11 , pp. 1857-1874
    • Warren Liao, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.