메뉴 건너뛰기




Volumn 6, Issue , 2018, Pages 19640-19653

A Deep Feature Optimization Fusion Method for Extracting Bearing Degradation Features

Author keywords

Centrifugal pump bearings; deep neural network; degradation feature extraction; grey wolf optimizer

Indexed keywords

BIOLOGICAL SYSTEMS; CENTRIFUGAL PUMPS; CONDITION MONITORING; DEEP NEURAL NETWORKS; DEGRADATION; EXTRACTION; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; METADATA; NUCLEAR FUELS; NUCLEAR POWER PLANTS; OPTIMIZATION; PUMPS; TRAJECTORIES;

EID: 85045308064     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2018.2824352     Document Type: Article
Times cited : (44)

References (42)
  • 1
    • 84984889827 scopus 로고    scopus 로고
    • A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery
    • A. Cubillo, S. Perinpanayagam, and M. Esperon-Miguez, A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery," Adv. Mech. Eng., vol. 8, no. 8, pp. 1-21, 2016.
    • (2016) Adv. Mech. Eng. , vol.8 , Issue.8 , pp. 1-21
    • Cubillo, A.1    Perinpanayagam, S.2    Esperon-Miguez, M.3
  • 2
    • 84923088126 scopus 로고    scopus 로고
    • Extended Kalman filtering for remaining-useful-life estimation of bearings
    • Mar
    • R. K. Singleton, E. G. Strangas, and S. Aviyente, Extended Kalman filtering for remaining-useful-life estimation of bearings," IEEE Trans. Ind. Electron., vol. 62, no. 3, pp. 1781-1790, Mar. 2015.
    • (2015) IEEE Trans. Ind. Electron. , vol.62 , Issue.3 , pp. 1781-1790
    • Singleton, R.K.1    Strangas, E.G.2    Aviyente, S.3
  • 3
    • 85036657786 scopus 로고    scopus 로고
    • Remaining useful life estimation in prog-nostics using deep convolution neural networks
    • Apr
    • X. Li, Q. Ding, and J.-Q. Sun, Remaining useful life estimation in prog-nostics using deep convolution neural networks," Rel. Eng. Syst. Safety, vol. 172, pp. 1-11, Apr. 2018.
    • (2018) Rel. Eng. Syst. Safety , vol.172 , pp. 1-11
    • Li, X.1    Ding, Q.2    Sun, J.-Q.3
  • 4
    • 85000608546 scopus 로고    scopus 로고
    • IoT-based prognostics and systems health management for industrial applications
    • D. Kwon, M. R. Hodkiewicz, J. Fan, T. Shibutani, and M. G. Pecht, IoT-based prognostics and systems health management for industrial applications," IEEE Access, vol. 4, pp. 3659-3670, 2016.
    • (2016) IEEE Access , vol.4 , pp. 3659-3670
    • Kwon, D.1    Hodkiewicz, M.R.2    Fan, J.3    Shibutani, T.4    Pecht, M.G.5
  • 5
    • 85037809835 scopus 로고    scopus 로고
    • Machinery health prognos-tics: A systematic review from data acquisition to RUL prediction
    • May
    • Y. Lei, N. Li, L. Guo, N. Li, T. Yan, and J. Lin, Machinery health prognos-tics: A systematic review from data acquisition to RUL prediction," Mech. Syst. Signal Process., vol. 104, pp. 799-834, May 2018.
    • (2018) Mech. Syst. Signal Process. , vol.104 , pp. 799-834
    • Lei, Y.1    Li, N.2    Guo, L.3    Li, N.4    Yan, T.5    Lin, J.6
  • 6
    • 84919868514 scopus 로고    scopus 로고
    • Prognostics of slurry pumps based on a moving-average wear degradation index and a general sequential Monte Carlo method
    • May
    • D. Wang and P. W. Tse, Prognostics of slurry pumps based on a moving-average wear degradation index and a general sequential Monte Carlo method," Mech. Syst. Signal Process., vols. 56-57, pp. 213-229, May 2015.
    • (2015) Mech. Syst. Signal Process. , vol.56-57 , pp. 213-229
    • Wang, D.1    Tse, P.W.2
  • 7
    • 84990929751 scopus 로고    scopus 로고
    • Online adaptive bearings condition assessment using continuous hidden Markov models
    • F. Cartella and H. Sahli, online adaptive bearings condition assessment using continuous hidden Markov models," Adv. Mech. Eng., vol. 7, no. 2, p. 758785, 2014.
    • (2014) Adv. Mech. Eng. , vol.7 , Issue.2 , pp. 758785
    • Cartella, F.1    Sahli, H.2
  • 8
    • 85014137440 scopus 로고    scopus 로고
    • A recurrent neural network based health indicator for remaining useful life prediction of bearings
    • May
    • L. Guo, N. Li, F. Jia, Y. Lei, and J. Lin, A recurrent neural network based health indicator for remaining useful life prediction of bearings," Neurocomputing, vol. 240, pp. 98-109, May 2017.
    • (2017) Neurocomputing , vol.240 , pp. 98-109
    • Guo, L.1    Li, N.2    Jia, F.3    Lei, Y.4    Lin, J.5
  • 9
    • 84888881344 scopus 로고    scopus 로고
    • Rolling element bearing fault diagnosis using simulated annealing optimized spectral kurtosis
    • Jun
    • J. Tian, C. Morillo, and M. G. Pecht, Rolling element bearing fault diagnosis using simulated annealing optimized spectral kurtosis," in Proc. IEEE Conf. Prognostics Health Manage. (PHM), Jun. 2013, pp. 1-5.
    • (2013) Proc. IEEE Conf. Prognostics Health Manage. (PHM) , pp. 1-5
    • Tian, J.1    Morillo, C.2    Pecht, M.G.3
  • 10
    • 85017594832 scopus 로고    scopus 로고
    • Fractional envelope analysis for rolling element bearing weak fault feature extraction
    • Apr
    • J. Wang, L. Qiao, Y. Ye, and Y. Chen, Fractional envelope analysis for rolling element bearing weak fault feature extraction," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 353-360, Apr. 2017.
    • (2017) IEEE/CAA J. Autom. Sinica , vol.4 , Issue.2 , pp. 353-360
    • Wang, J.1    Qiao, L.2    Ye, Y.3    Chen, Y.4
  • 11
    • 84962408476 scopus 로고    scopus 로고
    • Motor bearing fault detection using spectral kurtosis-based feature extraction coupled with K-nearest neighbor distance analysis
    • Mar
    • J. Tian, C. Morillo, M. H. Azarian, and M. Pecht, Motor bearing fault detection using spectral kurtosis-based feature extraction coupled with K-nearest neighbor distance analysis," IEEE Trans. Ind. Electron., vol. 63, no. 3, pp. 1793-1803, Mar. 2016.
    • (2016) IEEE Trans. Ind. Electron. , vol.63 , Issue.3 , pp. 1793-1803
    • Tian, J.1    Morillo, C.2    Azarian, M.H.3    Pecht, M.4
  • 12
    • 84964691000 scopus 로고    scopus 로고
    • Coupled cross-correlation neural net-work algorithm for principal singular triplet extraction of a cross-covariance matrix
    • Apr
    • X. Feng, X. Kong, and H. Ma, Coupled cross-correlation neural net-work algorithm for principal singular triplet extraction of a cross-covariance matrix," IEEE/CAA J. Autom. Sin., vol. 3, no. 2, pp. 149-156, Apr. 2016.
    • (2016) IEEE/CAA J. Autom. Sin. , vol.3 , Issue.2 , pp. 149-156
    • Feng, X.1    Kong, X.2    Ma, H.3
  • 13
  • 14
    • 79959474488 scopus 로고    scopus 로고
    • Model based diagnostics of an aircraft generator using AAKR and SPRT
    • K. Kappaganthu, Y. Li, and L. Hernandez, Model based diagnostics of an aircraft generator using AAKR and SPRT," SAE Int. J. Aerosp., vol. 3, no. 1, pp. 137-143, 2010.
    • (2010) SAE Int. J. Aerosp. , vol.3 , Issue.1 , pp. 137-143
    • Kappaganthu, K.1    Li, Y.2    Hernandez, L.3
  • 15
    • 85021815595 scopus 로고    scopus 로고
    • Maintenance-based prognostics of nuclear plant equipment for long-term operation
    • Z. Welz, J. Coble, B. Upadhyaya, and W. Hines, Maintenance-based prognostics of nuclear plant equipment for long-term operation," Nucl. Eng. Technol., vol. 49, no. 5, pp. 914-919, 2017.
    • (2017) Nucl. Eng. Technol. , vol.49 , Issue.5 , pp. 914-919
    • Welz, Z.1    Coble, J.2    Upadhyaya, B.3    Hines, W.4
  • 16
    • 84873912768 scopus 로고    scopus 로고
    • Condition monitoring of electrical power plant components during operational tran-sients
    • P. Baraldi, F. Di Maio, L. Pappaglione, E. Zio, and R. Seraoui, Condition monitoring of electrical power plant components during operational tran-sients," Proc. Inst. Mech. Eng. O, J. Risk Rel., vol. 226, no. 6, pp. 568-583, 2012.
    • (2012) Proc. Inst. Mech. Eng. O, J. Risk Rel. , vol.226 , Issue.6 , pp. 568-583
    • Baraldi, P.1    Di Maio, F.2    Pappaglione, L.3    Zio, E.4    Seraoui, R.5
  • 17
    • 85023197509 scopus 로고    scopus 로고
    • Symmetric and nonnegative latent factor models for undirected, high-dimensional, and sparse networks in industrial applications
    • Dec
    • X. Luo, J. Sun, Z.Wang, S. Li, and M. Shang, Symmetric and nonnegative latent factor models for undirected, high-dimensional, and sparse networks in industrial applications," IEEE Trans. Ind. Informat., vol. 13, no. 6, pp. 3098-3107, Dec. 2017.
    • (2017) IEEE Trans. Ind. Informat. , vol.13 , Issue.6 , pp. 3098-3107
    • Luo, X.1    Sun, J.2    Wang, Z.3    Li, S.4    Shang, M.5
  • 18
    • 85028509844 scopus 로고    scopus 로고
    • An effective scheme for QoS estimation via alternating direction method-based matrix factoriza-tion
    • to be published
    • X. Luo, M. Zhou, Z. Wang, Y. Xia, and Q. Zhu, An effective scheme for QoS estimation via alternating direction method-based matrix factoriza-tion," IEEE Trans. Serv. Comput., to be published.
    • IEEE Trans. Serv. Comput.
    • Luo, X.1    Zhou, M.2    Wang, Z.3    Xia, Y.4    Zhu, Q.5
  • 19
    • 84928248687 scopus 로고    scopus 로고
    • Generating highly accurate predictions for missing QoS data via aggre-gating nonnegative latent factor models
    • Mar
    • X. Luo, M. Zhou, Y. Xia, Q. Zhu, A. C. Ammari, and A. Alabdulwahab, Generating highly accurate predictions for missing QoS data via aggre-gating nonnegative latent factor models," IEEE Trans. Neural Netw. Learn. Syst., vol. 27, no. 3, pp. 524-537, Mar. 2016.
    • (2016) IEEE Trans. Neural Netw. Learn. Syst. , vol.27 , Issue.3 , pp. 524-537
    • Luo, X.1    Zhou, M.2    Xia, Y.3    Zhu, Q.4    Ammari, A.C.5    Alabdulwahab, A.6
  • 20
    • 85032879457 scopus 로고    scopus 로고
    • Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics
    • Mar
    • P. Baraldi, G. Bonfanti, and E. Zio, Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics," Mech. Syst. Signal Process., vol. 102, pp. 382-400, Mar. 2018.
    • (2018) Mech. Syst. Signal Process. , vol.102 , pp. 382-400
    • Baraldi, P.1    Bonfanti, G.2    Zio, E.3
  • 21
    • 85040160949 scopus 로고    scopus 로고
    • Feature selection for multi-label classification using neighborhood preservation
    • Jan
    • Z. Cai and W. Zhu, Feature selection for multi-label classification using neighborhood preservation," IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 320-330, Jan. 2018.
    • (2018) IEEE/CAA J. Autom. Sinica , vol.5 , Issue.1 , pp. 320-330
    • Cai, Z.1    Zhu, W.2
  • 23
    • 0036427995 scopus 로고    scopus 로고
    • Simple explanation of the no free lunch theorem of optimization
    • Y.-C. Ho and D. L. Pepyne, Simple explanation of the no free lunch theorem of optimization," Cybern. Syst. Anal., vol. 38, no. 2, pp. 292-298, 2002.
    • (2002) Cybern. Syst. Anal. , vol.38 , Issue.2 , pp. 292-298
    • Ho, Y.-C.1    Pepyne, D.L.2
  • 24
    • 85032735906 scopus 로고    scopus 로고
    • LiftingNet: A novel deep learning network with layerwise feature learning from noisy mechanical data for fault classification
    • Jun
    • J. Pan, Y. Zi, J. Chen, Z. Zhou, and B. Wang, LiftingNet: A novel deep learning network with layerwise feature learning from noisy mechanical data for fault classification," IEEE Trans. Ind. Electron., vol. 65, no. 6, pp. 4973-4982, Jun. 2018.
    • (2018) IEEE Trans. Ind. Electron. , vol.65 , Issue.6 , pp. 4973-4982
    • Pan, J.1    Zi, Y.2    Chen, J.3    Zhou, Z.4    Wang, B.5
  • 25
    • 85034228575 scopus 로고    scopus 로고
    • Intelligent bearing fault diagnosis method combining compressed data acquisition and deep learning
    • Jan
    • J. Sun, C. Yan, and J. Wen, Intelligent bearing fault diagnosis method combining compressed data acquisition and deep learning," IEEE Trans. Instrum. Meas., vol. 67, no. 1, pp. 185-195, Jan. 2018.
    • (2018) IEEE Trans. Instrum. Meas. , vol.67 , Issue.1 , pp. 185-195
    • Sun, J.1    Yan, C.2    Wen, J.3
  • 26
    • 85025667855 scopus 로고    scopus 로고
    • A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
    • Jan
    • F. Jia, Y. Lei, L. Guo, J. Lin, and S. Xing, A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines," Neurocomputing, vol. 272, pp. 619-628, Jan. 2018.
    • (2018) Neurocomputing , vol.272 , pp. 619-628
    • Jia, F.1    Lei, Y.2    Guo, L.3    Lin, J.4    Xing, S.5
  • 27
    • 85029819623 scopus 로고    scopus 로고
    • Automatic feature point detec-tion and tracking of human actions in time-of-fight videos
    • Sep
    • X. Yuan, L. Kong, D. Feng, and Z. Wei, Automatic feature point detec-tion and tracking of human actions in time-of-fight videos," IEEE/CAA J. Autom. Sin., vol. 4, no. 4, pp. 677-685, Sep. 2017.
    • (2017) IEEE/CAA J. Autom. Sin. , vol.4 , Issue.4 , pp. 677-685
    • Yuan, X.1    Kong, L.2    Feng, D.3    Wei, Z.4
  • 28
    • 85042082491 scopus 로고    scopus 로고
    • A review on the application of deep learning in system health management
    • Jul
    • S. Khan and T. Yairi, A review on the application of deep learning in system health management," Mech. Syst. Signal Process., vol. 107, pp. 241-265, Jul. 2018.
    • (2018) Mech. Syst. Signal Process. , vol.107 , pp. 241-265
    • Khan, S.1    Yairi, T.2
  • 29
    • 84962026438 scopus 로고    scopus 로고
    • Ensemble classification and regression-recent developments, applications and future directions [review article]
    • Feb
    • Y. Ren, L. Zhang, and P. N. Suganthan, Ensemble classification and regression-recent developments, applications and future directions [review article]," IEEE Comput. Intell. Mag., vol. 11, no. 1, pp. 41-53, Feb. 2016.
    • (2016) IEEE Comput. Intell. Mag. , vol.11 , Issue.1 , pp. 41-53
    • Ren, Y.1    Zhang, L.2    Suganthan, P.N.3
  • 30
    • 85035107471 scopus 로고    scopus 로고
    • A new convolutional neural network based data-driven fault diagnosis method
    • Jul
    • L.Wen, X. Li, L. Gao, and Y. Zhang, A new convolutional neural network based data-driven fault diagnosis method," IEEE Trans. Ind. Electron., vol. 65, no. 7, pp. 5990-5998, Jul. 2018.
    • (2018) IEEE Trans. Ind. Electron. , vol.65 , Issue.7 , pp. 5990-5998
    • Wen, L.1    Li, X.2    Gao, L.3    Zhang, Y.4
  • 31
    • 85014996563 scopus 로고    scopus 로고
    • Deep model based domain adaptation for fault diagnosis
    • Mar
    • W. Lu, B. Liang, Y. Cheng, D. Meng, J. Yang, and T. Zhang, Deep model based domain adaptation for fault diagnosis," IEEE Trans. Ind. Electron., vol. 64, no. 3, pp. 2296-2305, Mar. 2017.
    • (2017) IEEE Trans. Ind. Electron. , vol.64 , Issue.3 , pp. 2296-2305
    • Lu, W.1    Liang, B.2    Cheng, Y.3    Meng, D.4    Yang, J.5    Zhang, T.6
  • 32
    • 84994444628 scopus 로고    scopus 로고
    • Enhanced restricted Boltzmann machine with prognosability regularization for prognostics and health assessment
    • Nov
    • L. Liao, W. Jin, and R. Pavel, Enhanced restricted Boltzmann machine with prognosability regularization for prognostics and health assessment," IEEE Trans. Ind. Electron., vol. 63, no. 11, pp. 7076-7083, Nov. 2016.
    • (2016) IEEE Trans. Ind. Electron. , vol.63 , Issue.11 , pp. 7076-7083
    • Liao, L.1    Jin, W.2    Pavel, R.3
  • 33
    • 33749663808 scopus 로고    scopus 로고
    • Residual life predictions for ball bearings based on self-organizing map and back prop-agation neural network methods
    • R. Huang, L. Xi, X. Li, C. R. Liu, H. Qiu, and J. Lee, Residual life predictions for ball bearings based on self-organizing map and back prop-agation neural network methods," Mech. Syst. Signal Process., vol. 21, no. 1, pp. 193-207, 2007.
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.1 , pp. 193-207
    • Huang, R.1    Xi, L.2    Li, X.3    Liu, C.R.4    Qiu, H.5    Lee, J.6
  • 34
    • 85028453210 scopus 로고    scopus 로고
    • Stacked sparse autoencoder-based deep network for fault diagnosis of rotating machin-ery
    • Y. Qi, C. Shen, D. Wang, J. Shi, X. Jiang, and Z. Zhu, Stacked sparse autoencoder-based deep network for fault diagnosis of rotating machin-ery," IEEE Access, vol. 5, pp. 15066-15079, 2017.
    • (2017) IEEE Access , vol.5 , pp. 15066-15079
    • Qi, Y.1    Shen, C.2    Wang, D.3    Shi, J.4    Jiang, X.5    Zhu, Z.6
  • 35
    • 85026885631 scopus 로고    scopus 로고
    • Two novel mixed effects models for prognostics of rolling element bearings
    • Jan
    • D.Wang and K.-L. Tsui, Two novel mixed effects models for prognostics of rolling element bearings," Mech. Syst. Signal Process., vol. 99, pp. 1-13, Jan. 2018.
    • (2018) Mech. Syst. Signal Process. , vol.99 , pp. 1-13
    • Wang, D.1    Tsui, K.-L.2
  • 36
    • 85031760942 scopus 로고    scopus 로고
    • A survey of the state of condition-based maintenance (CBM) in the nuclear power industry
    • Feb
    • R. M. Ayo-Imoru and A. C. Cilliers, A survey of the state of condition-based maintenance (CBM) in the nuclear power industry," Ann. Nucl. Energy, vol. 112, pp. 177-188, Feb. 2018.
    • (2018) Ann. Nucl. Energy , vol.112 , pp. 177-188
    • Ayo-Imoru, R.M.1    Cilliers, A.C.2
  • 37
    • 85031800694 scopus 로고    scopus 로고
    • Wind turbine fault detection using a denoising autoencoder with temporal information
    • Feb
    • G. Jiang, P. Xie, H. He, and J. Yan, Wind turbine fault detection using a denoising autoencoder with temporal information," IEEE/ASME Trans. Mechatronics, vol. 23, no. 1, pp. 89-100, Feb. 2018.
    • (2018) IEEE/ASME Trans. Mechatronics , vol.23 , Issue.1 , pp. 89-100
    • Jiang, G.1    Xie, P.2    He, H.3    Yan, J.4
  • 39
    • 84930277801 scopus 로고    scopus 로고
    • How effective is the Grey Wolf optimizer in training multi-layer perceptrons
    • S. Mirjalili, How effective is the Grey Wolf optimizer in training multi-layer perceptrons," Appl. Intell., vol. 43, no. 1, pp. 150-161, 2015.
    • (2015) Appl. Intell. , vol.43 , Issue.1 , pp. 150-161
    • Mirjalili, S.1
  • 41
    • 84883747869 scopus 로고    scopus 로고
    • Pronostia: An experimental platform for bearings accelerated degradation tests
    • Jul
    • P. Nectoux et al., Pronostia: An experimental platform for bearings accelerated degradation tests," in Proc. IEEE Int. Conf. Prognostics Health Manage., Jul. 2012, pp. 1-8.
    • (2012) Proc. IEEE Int. Conf. Prognostics Health Manage. , pp. 1-8
    • Nectoux, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.