Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
暂无分享,去创建一个
[1] Rahmat Shoureshi,et al. Neural networks for system identification , 1989, IEEE Control Systems Magazine.
[2] R. J. Kuo. Intelligent diagnosis for turbine blade faults using artificial neural networks and fuzzy logic , 1995 .
[3] Hsu-Pin Wang,et al. Machine-fault classification: A fuzzy-set approach , 1991 .
[4] P.G. McLaren,et al. Reliability improvement and economic benefits of on-line monitoring systems for large induction machines , 1988, Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting.
[5] Arun K. Sood,et al. Engine Fault Analysis: Part I-Statistical Methods , 1985, IEEE Transactions on Industrial Electronics.
[6] F. Shokooh,et al. Parameter estimation for induction machines based on sensitivity analysis , 1988, Record of Conference Papers., Industrial Applications Society 35th Annual Petroleum and Chemical Industry Conference,.
[7] R. Maier,et al. Protection of squirrel cage induction motor utilizing instantaneous power and phase information , 1990, Conference Record of the 1990 IEEE Industry Applications Society Annual Meeting.
[8] A. Bernieri,et al. A neural network approach for identification and fault diagnosis on dynamic systems , 1993 .
[9] Robert E. Uhrig,et al. Monitoring and diagnosis of rolling element bearings using artificial neural networks , 1993, IEEE Trans. Ind. Electron..
[10] Chuen-Tsai Sun,et al. Neuro-fuzzy modeling and control , 1995, Proc. IEEE.
[11] Bart Kosko,et al. Adaptive fuzzy systems for backing up a truck-and-trailer , 1992, IEEE Trans. Neural Networks.
[12] Hisao Ishibuchi,et al. Neural networks that learn from fuzzy if-then rules , 1993, IEEE Trans. Fuzzy Syst..
[13] Chin-Teng Lin,et al. Neural-Network-Based Fuzzy Logic Control and Decision System , 1991, IEEE Trans. Computers.
[14] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[15] Mo-Yuen Chow,et al. A Methodology Using Fuzzy Logic to Optimize Feedforward Artificial Neural Network Configurations , 1994, IEEE Trans. Syst. Man Cybern. Syst..
[16] Cheng-Jian Lin,et al. Fuzzy adaptive learning control network with on-line neural learning , 1995 .
[17] Chin-Teng Lin,et al. Neural fuzzy systems , 1994 .
[18] Ronald R. Yager,et al. Implementing fuzzy logic controllers using a neural network framework , 1992 .
[19] J. Lang,et al. Detection of broken rotor bars in induction motors using state and parameter estimation , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.
[20] G.C. Soukup,et al. Cause and analysis of stator and rotor failures in 3-phase squirrel cage induction motors , 1991, Conference Record of 1991 Annual Pulp and Paper Industry Technical Conference.
[21] Rolf Isermann,et al. Process fault detection based on modeling and estimation methods - A survey , 1984, Autom..
[22] Chwan-Hwa Wu,et al. Automatically generated rules and membership functions for a neural fuzzy-based fault classifier , 1994, Proceedings of 1994 37th Midwest Symposium on Circuits and Systems.
[23] Paul M. Frank. Residual evaluation for fault diagnosis based on adaptive fuzzy thresholds , 1995 .
[24] Mo-Yuen Chow,et al. Guest editorial special section on motor fault detection and diagnosis , 2000 .
[25] Arthur L. Dexter,et al. Detecting faults in nonlinear dynamic systems using static neuro-fuzzy models , 1995 .
[26] W. R. Finley,et al. Trouble shooting motor problems , 1993, Industry Applications Society 40th Annual Petroleum and Chemical Industry Conference.
[27] F. Filippetti,et al. Neural networks aided on-line diagnostics of induction motor rotor faults , 1993 .
[28] Mo-Yuen Chow,et al. Using a neural/fuzzy system to extract heuristic knowledge of incipient faults in induction motors. Part I-Methodology , 1995, IEEE Trans. Ind. Electron..
[29] Rahmat A. Shoureshi,et al. Neural networks for system identification , 1990 .
[30] K. F. Martin,et al. A review by discussion of condition monitoring and fault diagnosis in machine tools , 1994 .
[31] R. Isermann,et al. Process Fault Diagnosis Based on Process Model Knowledge: Part I—Principles for Fault Diagnosis With Parameter Estimation , 1991 .
[32] Arun K. Sood,et al. Engine Fault Analysis: Part II---Parameter Estimation Approach , 1985, IEEE Transactions on Industrial Electronics.
[33] F. Filippetti,et al. Neural networks aided on-line diagnostics of induction motor rotor faults , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.
[34] J.-S.R. Jang,et al. Gain scheduling based fuzzy controller design , 1994, NAFIPS/IFIS/NASA '94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intellige.
[35] R. Isermann,et al. Process Fault Diagnosis Based on Process Model Knowledge: Part II—Case Study Experiments , 1991 .
[36] Yubao Chen,et al. Fuzzy decision system for fault classification under high levels of uncertainty , 1995 .
[37] Mo-Yuen Chow,et al. Methodology for on-line incipient fault detection in single-phase squirrel-cage induction motors using artificial neural networks , 1991 .
[38] Jie Zhang,et al. On-line process fault diagnosis using fuzzy neural networks , 1994 .
[39] Bharat H. Maru,et al. Anti-friction bearing temperature rise for NEMA frame motors , 1988, Record of Conference Papers., Industrial Applications Society 35th Annual Petroleum and Chemical Industry Conference,.
[40] K S Narendra,et al. IDENTIFICATION AND CONTROL OF DYNAMIC SYSTEMS USING NEURAL NETWORKS , 1990 .
[41] Rolf Isermann. Process fault diagnosis based on process model knowledge , 1988 .
[42] Igor Gazdik,et al. Fault Diagnosis and Prevention by Fuzzy Sets , 1985, IEEE Transactions on Reliability.
[43] Chuen-Tsai Sun,et al. Rule-base structure identification in an adaptive-network-based fuzzy inference system , 1994, IEEE Trans. Fuzzy Syst..
[44] Junhong Nie,et al. Constructing fuzzy model by self-organizing counterpropagation network , 1995, IEEE Trans. Syst. Man Cybern..
[45] Mo-Yuen Chow,et al. Using a neural/fuzzy system to extract heuristic knowledge of incipient faults in induction motors: Part II-Application , 1995, IEEE Trans. Ind. Electron..
[46] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[47] Mo-Yuen Chow,et al. On the application and design of artificial neural networks for motor fault detection. II , 1993, IEEE Trans. Ind. Electron..