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Volumn 97-101, Issue , 2010, Pages 3225-3232

A hybrid approach of ANN and HMM for cutting chatter monitoring

Author keywords

Artificial neural network; Condition monitoring; Cutting chatter; Hidden Markov Model

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CUTTING CHATTER; CUTTING PROCESS; FEATURE TRANSFORMATIONS; HYBRID APPROACH; MULTI LAYER PERCEPTRON; MULTI-STREAM; RECOGNITION ACCURACY; SYSTEM USE; TEMPORAL MODELING; TIME SERIES PREDICTION; TIME VARYING SIGNAL;

EID: 77950976829     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.97-101.3225     Document Type: Conference Paper
Times cited : (28)

References (14)
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  • 5
    • 0028262811 scopus 로고
    • Maximum mutual information neural networks for hybrid connectionist-HMM
    • IEEE Transactions on speech and audio processing
    • Gerhard Rigoll: Maximum Mutual Information Neural Networks for Hybrid Connectionist-HMM. Speech Recognition Systems. IEEE Transactions on speech and audio processing, Vol. 2(1994), p. 175-184.
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    • Rigoll, G.1
  • 6
    • 0031630638 scopus 로고    scopus 로고
    • A NN/HMM hybrid for continuous speech recognition with a discriminant nonlinear feature extraction
    • Gerhard Rigoll, Daniel Willett: A NN/HMM hybrid for continuous speech recognition with a discriminant nonlinear feature extraction. IEEE Int Conf Acoustics, Speech, and Signal Processing (1998), P. 9-12.
    • (1998) IEEE Int Conf Acoustics, Speech, and Signal Processing , pp. 9-12
    • Rigoll, G.1    Willett, D.2
  • 10
    • 3242733167 scopus 로고    scopus 로고
    • Diagnosis of mechanical fault signal using continuous hidden Markov model
    • J.M. Lee, S.J. Kim, Y. Hwang: Diagnosis of mechanical fault signal using continuous hidden Markov model. Journal of Sound and Vibration. Vol. 276(2004), p. 1065-1080.
    • (2004) Journal of Sound and Vibration , vol.276 , pp. 1065-1080
    • Lee, J.M.1    Kim, S.J.2    Hwang, Y.3
  • 11
    • 0037961681 scopus 로고    scopus 로고
    • Detection of gear failures via vibration and acoustic signals using wavelet transform
    • N. Baydar, A. Ball: Detection of Gear Failures via Vibration and Acoustic Signals Using Wavelet Transform. Mechanical Systems and Signal Processing. Vol.17(2003), p. 787-804.
    • (2003) Mechanical Systems and Signal Processing , vol.17 , pp. 787-804
    • Baydar, N.1    Ball, A.2
  • 12
    • 3543151400 scopus 로고    scopus 로고
    • Hidden Markov model-based process monitoring system
    • Y. Xu, M. Ge: Hidden Markov model-based process monitoring system. Journal of Intelligent Manufacturing. Vol. 15(2004), p. 337-350.
    • (2004) Journal of Intelligent Manufacturing , vol.15 , pp. 337-350
    • Xu, Y.1    Ge, M.2
  • 13
    • 77951015701 scopus 로고
    • Modeling and recognition of cursive words with Hidden Markov Models
    • Cho Wongyu, Lee Kim. Modeling and recognition of cursive words with Hidden Markov Models. Pattern Recognition. Vol. 28(1991), p. 1945-1953.
    • (1991) Pattern Recognition , vol.28 , pp. 1945-1953
    • Wongyu, C.1    Kim, L.2
  • 14
    • 24344500897 scopus 로고    scopus 로고
    • Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition
    • DOI 10.1016/j.ndteint.2005.04.003, PII S0963869505000666
    • V. Purushotham, S. Narayanan, Suryanarayana A.N. Prasad: Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition. NDT&E International 38(2005), p. 654-664. (Pubitemid 41261408)
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    • Purushotham, V.1    Narayanan, S.2    Prasad, S.A.N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.