Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods
Tài liệu tham khảo
Qiu, 2003, Robust performance degradation assessment methods for enhanced rolling element bearing prognostics, Advanced Engineering Informatics, 17, 127, 10.1016/j.aei.2004.08.001
Tse, 2001, Wavelet analysis and envelope detection for rolling element bearing fault diagnosis-their effectiveness and flexibilities, Journal of Vibration and Acoustics-Transactions of the ASME, 123, 303, 10.1115/1.1379745
Lou, 2004, Bearing fault diagnosis based on wavelet transform and fuzzy inference, Mechanical Systems and Signal Processing, 18, 1077, 10.1016/S0888-3270(03)00077-3
Williams, 2001, Rolling element bearing diagnostics in run-to-failure lifetime testing, Mechanical Systems and Signal Processing, 15, 979, 10.1006/mssp.2001.1418
Gebraeel, 2004, Residual life predictions from vibration-based degradation signals: A neural network approach, IEEE Transactions on Industrial Electronics, 51, 694, 10.1109/TIE.2004.824875
Liu, 1996, Detection of roller bearing defects using expert system and fuzzy logic, Mechanical Systems and Signal Processing, 10, 595, 10.1006/mssp.1996.0041
Alguindigue, 1993, Monitoring and diagnosis of rolling element bearings using artificial neural networks, IEEE Transactions on Industrial Electronics, 40, 209, 10.1109/41.222642
Samanta, 2003, Artificial neural network based fault diagnostics of rolling element bearings using time-domain features, Mechanical Systems and Signal Processing, 17, 317, 10.1006/mssp.2001.1462
Subrahmanyam, 1997, Using neural networks for the diagnosis of localized defects in ball bearings, Tribology International, 30, 739, 10.1016/S0301-679X(97)00056-X
Rubini, 2001, Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings, Mechanical Systems and Signal Processing, 15, 287, 10.1006/mssp.2000.1330
Prabhakar, 2002, Application of discrete wavelet transform for detection of ball bearing race faults, Tribology International, 35, 793, 10.1016/S0301-679X(02)00063-4
Huang, 1996, Integrated monitoring and diagnostic system for roller bearings, International Journal of Advanced Manufacturing Technology, 12, 37, 10.1007/BF01178960
Heng, 1998, Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition, Applied Acoustics, 53, 211, 10.1016/S0003-682X(97)00018-2
Tandon, 1994, Comparison of some vibration parameters for the condition monitoring of rolling element bearings, Measurement: Journal of the International Measurement Confederation, 12, 285, 10.1016/0263-2241(94)90033-7
NSF I/UCRC Center for Intelligent Maintenance Systems, www.ims-center.net, 2004.
Shao, 2000, Prognosis of remaining bearing life using neural networks, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 214, 217, 10.1243/0959651001540582
Li, 1999, Dynamic prognostic prediction of defect propagation on rolling element bearings, Tribology Transactions, 42, 385, 10.1080/10402009908982232
McFadden, 1984, Vibration monitoring of rolling element bearings by high frequency resonance technique: a review, Tribology International, 17, 3, 10.1016/0301-679X(84)90076-8
J. Qiu, B.B. Seth, C. Zhang, S.Y. Lian, Failure lifetime prognostic of bearing based on vibration response and damage mechanics, in: Proceedings of the 2000 Japan USA Flexible Automation Conference, 2000, pp. 1–5.
Shiroishi, 1997, Bearing condition diagnostics via vibration and acoustic emission measurements, Journal of Engineering and Applied Science, 11, 693
Kohonen, 1995
Jamsa-Jounela, 2003, A process monitoring system based on the Kohonen self-organizing maps, Control Engineering Practice, 11, 83, 10.1016/S0967-0661(02)00141-7
Alhoniemi, 1999, Process monitoring and modeling using the self-organizing map, Integrated Computer-Aided Engineering, 6, 3, 10.3233/ICA-1999-6102
A. Ultsch, S.H. Kohonen, Self Organizing feature maps for exploratory data analysis, in: Proceedings of the INNC’90, International Neural Network Conference, Kluwer, 1990.
Kang, 2003, Condition assessment of power transformer onload tap changers using wavelet analysis and self-organizing map: field evaluation, IEEE Transactions on Power Delivery, 18, 78, 10.1109/TPWRD.2002.803692
J. Vesanto, Neural network tool for data mining: SOM toolbox, TOOLMET 2000 Symposium—Tool Environments and Development Methods for Intelligent Systems, Oulu, Finland, 2000.
http://www.cis.hut.fi/projects/somtoolbox/.
Luoyang Bearing Research Institute, Latest Rolling Bearing Standardization Handbook, 2004 (in Chinese).