Keynote paper: Fault diagnosis and neural networks: A power plant application
暂无分享,去创建一个
[1] Mo-Yuen Chow,et al. On the application and design of artificial neural networks for motor fault detection. II , 1993, IEEE Trans. Ind. Electron..
[2] Rolf Isermann,et al. Process fault detection based on modeling and estimation methods - A survey , 1984, Autom..
[3] L. F. Pau. Failure Diagnosis and Performance Monitoring , 1986, IEEE Transactions on Reliability.
[4] I. Nikiforov,et al. Application of statistical fault detection algorithms to navigation systems monitoring , 1993, Autom..
[5] Heikki N. Koivo,et al. Fault Diagnosis of Dynamic Systems Using Neural Networks , 1993 .
[6] Lennart Ljung,et al. Theory and Practice of Recursive Identification , 1983 .
[7] Paul M. Frank,et al. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..
[8] Alan S. Willsky,et al. A survey of design methods for failure detection in dynamic systems , 1976, Autom..
[9] Richard P. Lippmann,et al. A Comparative Study of the Practical Characteristics of Neural Network and Conventional Pattern Classifiers , 1990, NIPS 1990.
[10] David Mautner Himmelblau,et al. Fault detection and diagnosis in chemical and petrochemical processes , 1978 .
[11] Teuvo Kohonen,et al. Self-Organization and Associative Memory , 1988 .
[12] Timo Sorsa,et al. Neural networks in process fault diagnosis , 1991, IEEE Trans. Syst. Man Cybern..
[13] Heikki N. Koivo,et al. Application of artificial neural networks in process fault diagnosis , 1991, Autom..
[14] Mo-Yuen Chow,et al. A neural network approach to real-time condition monitoring of induction motors , 1991 .
[15] Mohamad T. Musavi,et al. On the training of radial basis function classifiers , 1992, Neural Networks.
[16] Michel Kinnaert. Design of redundancy relations for failure detection and isolation by constrained optimization , 1993 .
[17] Michèle Basseville,et al. On the Use of Descriptor Systems for Failure Detection and Isolation , 1993 .
[18] R.P. Lippmann,et al. Pattern classification using neural networks , 1989, IEEE Communications Magazine.
[19] Mo-Yuen Chow,et al. On the application and design of artificial neural networks for motor fault detection. II : Applications of intelligent systems , 1993 .
[20] C.A. Jacobson,et al. An integrated approach to controls and diagnostics using the four parameter controller , 1991, IEEE Control Systems.
[21] R. Palmer,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[22] Robert E. Uhrig,et al. Monitoring and diagnosis of rolling element bearings using artificial neural networks , 1993, IEEE Trans. Ind. Electron..
[23] J. A. Leonard,et al. Radial basis function networks for classifying process faults , 1991, IEEE Control Systems.
[24] W.C. Merrill,et al. A real time microcomputer implementation of sensor failure detection for turbofan engines , 1990, IEEE Control Systems Magazine.
[25] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .
[26] Keinosuke Fukunaga,et al. Statistical Pattern Recognition , 1993, Handbook of Pattern Recognition and Computer Vision.
[27] J.J. Gertler,et al. Survey of model-based failure detection and isolation in complex plants , 1988, IEEE Control Systems Magazine.
[28] A. Toola,et al. The safety of process automation , 1993, Autom..
[29] Timo Sorsa,et al. APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN PROCESS FAULT DIAGNOSIS , 1992 .
[30] Spyros G. Tzafestas,et al. A hierarchical multiple model adaptive control of discrete-time stochastic systems for sensor and actuator uncertainties , 1990, Autom..
[31] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[32] A. Willsky,et al. Analytical redundancy and the design of robust failure detection systems , 1984 .
[33] E. Zafiriou,et al. Use of neural networks for sensor failure detection in a control system , 1990, IEEE Control Systems Magazine.