Advanced Information and Knowledge Processing Series

[1]  P. Lewicki,et al.  Nonconscious acquisition of information. , 1992, The American psychologist.

[2]  R. Singh,et al.  Study of the Optimisation of Measurement Sets for Gas Path Fault Diagnosis in Gas Turbines , 2002 .

[3]  Ibrahim Esat,et al.  ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROTATING MACHINERY USING WAVELET TRANSFORMS AS A PREPROCESSOR , 1997 .

[4]  S. Sardy,et al.  A application of vision system for the identification and defect detection on woven fabrics by using artificial neural network , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[5]  R. E. Uhrig Application of artificial neural networks in industrial technology , 1994, Proceedings of 1994 IEEE International Conference on Industrial Technology - ICIT '94.

[6]  Raymond Reiter,et al.  A Theory of Diagnosis from First Principles , 1986, Artif. Intell..

[7]  Belle R. Upadhyaya,et al.  Monitoring feedwater flow rate and component thermal performance of pressurized water reactors by means of artificial neural networks , 1994 .

[8]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[9]  Toshio Fukuda,et al.  Intelligent position/force controller for industrial robot manipulators-application of fuzzy neural networks , 1997, IEEE Trans. Ind. Electron..

[10]  Belle R. Upadhyaya,et al.  Application of Neural Networks for Sensor Validation and Plant Monitoring , 1990 .

[11]  Jin Zhang,et al.  An Evaluation of Engine Faults Diagnostics Using Artificial Neural Networks , 2001 .

[12]  Alan V. Oppenheim,et al.  Digital Signal Processing , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[13]  James M. Keller,et al.  Incorporating Fuzzy Membership Functions into the Perceptron Algorithm , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Timo Sorsa,et al.  Neural networks in process fault diagnosis , 1991, IEEE Trans. Syst. Man Cybern..

[15]  Fuchun Sun,et al.  Neural network-based adaptive controller design of robotic manipulators with an observer , 2001, IEEE Trans. Neural Networks.

[16]  Steffen Leonhardt,et al.  Methods of fault diagnosis , 1997 .

[17]  Marek Kowal,et al.  Fault isolation approach using a PROFIBUS network: a case study , 2002 .

[18]  Vinzenz von Tscharner,et al.  Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution , 2000 .

[19]  Alireza Khotanzad,et al.  Combination of artificial neural-network forecasters for prediction of natural gas consumption , 2000, IEEE Trans. Neural Networks Learn. Syst..

[20]  Meherwan P. Boyce,et al.  Modelling and Analysis of Gas Turbine Performance Deterioration , 1992 .

[21]  Louis A. Urban,et al.  Gas Path Analysis Applied to Turbine Engine Condition Monitoring , 1973 .

[22]  Bernard Widrow,et al.  The basic ideas in neural networks , 1994, CACM.

[23]  Rolf Isermann FAULT DIAGNOSIS OF MACHINES VIA PARAMETER ESTIMATION AND KNOWLEDGE PROCESSING , 1992 .

[24]  M Angelo VIBRATION MONITORING OF MACHINES , 1987 .

[25]  Rong-Jong Wai,et al.  Hybrid supervisory control using recurrent fuzzy neural network for tracking periodic inputs , 2001, IEEE Trans. Neural Networks.

[26]  Jrg Kaiser,et al.  Nonrecursive digital filter design using the I-sinh window function , 1977 .

[27]  Malur K. Sundareshan,et al.  Neural network-assisted variable structure control scheme for control of a flexible manipulator arm , 1997, Autom..

[28]  Marzuki Khalid,et al.  Temperature regulation with neural networks and alternative control schemes , 1995, IEEE Trans. Neural Networks.

[29]  S. Omatu,et al.  A neural network controller for a temperature control system , 1992 .

[30]  Weidong Huang,et al.  Sensor failure detection and data recovery based on neural network , 1996 .

[31]  Paulo Sergio Varoto,et al.  Vibration Testing: Theory and Practice , 1995 .

[32]  D. S. Drumheller,et al.  Introduction to elastic wave propagation , 1994 .

[33]  Alan S. Willsky,et al.  A survey of design methods for failure detection in dynamic systems , 1976, Autom..

[34]  Rong-Jong Wai,et al.  A supervisory fuzzy neural network control system for tracking periodic inputs , 1999, IEEE Trans. Fuzzy Syst..

[35]  Riti Singh,et al.  Advanced engine diagnostics using artificial neural networks , 2003, Appl. Soft Comput..

[36]  Clément Gosselin,et al.  Trajectory prediction for moving objects using artificial neural networks , 1995, IEEE Trans. Ind. Electron..

[37]  Mario Innocenti,et al.  A Comparison Between Kalman Filter and Neural Network Based Approaches for Sensor Validation , 1996 .

[38]  Belle R. Upadhyaya,et al.  Chemometric Data Analysis Using Artificial Neural Networks , 1993 .

[39]  Stephen Ogaji,et al.  Multiple-sensor fault-diagnoses for a 2-shaft stationary gas-turbine , 2002 .

[40]  Rolf Isermann Knowledge-Based Structures for Fault Diagnosis and Its Applications , 1997 .

[41]  Dan W. Patterson,et al.  Artificial Neural Networks: Theory and Applications , 1998 .

[42]  Jouko Lampinen,et al.  WOOD SURFACE INSPECTION SYSTEM BASED ON GENERIC VISUAL FEATURES , 1998 .

[43]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[44]  Ian Howard,et al.  A Review of Rolling Element Bearing Vibration 'Detection, Diagnosis and Prognosis', , 1994 .

[45]  Yoshiki Uchikawa,et al.  Trajectory control of robotic manipulators using neural networks , 1991 .

[46]  Li-Xin Wang,et al.  A Course In Fuzzy Systems and Control , 1996 .

[47]  Victor Wowk Machinery vibration : balancing , 1994 .

[48]  H. Saunders,et al.  Mechanical Signature Analysis—Theory and Applications , 1988 .

[49]  Lefteri H. Tsoukalas,et al.  Hybrid expert system: neural-network methodology for nuclear plant monitoring and diagnostics , 1990, Defense, Security, and Sensing.

[50]  Petre Stoica,et al.  Decentralized Control , 2018, The Control Systems Handbook.

[51]  Silvio Simani,et al.  Fault diagnosis in power plant using neural networks , 2000, Inf. Sci..

[52]  F ROSENBLATT,et al.  The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.

[53]  Alexander G. Parlos,et al.  Incipient fault detection and identification in process systems using accelerated neural network learning , 1994 .

[54]  R. J. Patton,et al.  Artificial Intelligence Approaches to Fault Diagnosis for Dynamic Systems , 1999 .

[55]  R. J. Patton,et al.  Artificial intelligence approaches to fault diagnosis , 1998 .

[56]  Ahmed Rubaai,et al.  Online identification and control of a DC motor using learning adaptation of neural networks , 2000 .

[57]  John G. Proakis,et al.  Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .

[58]  Jacek M. Zurada,et al.  Introduction to artificial neural systems , 1992 .

[59]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[60]  Seul Jung,et al.  Neural network impedance force control of robot manipulator , 1998, IEEE Trans. Ind. Electron..

[61]  Paul M. Frank,et al.  Issues of Fault Diagnosis for Dynamic Systems , 2010, Springer London.

[62]  Glen Karlsons,et al.  Performance Deterioration Modeling in Aircraft Gas Turbine Engines , 1998 .

[63]  E. Zafiriou,et al.  Use of neural networks for sensor failure detection in a control system , 1990, IEEE Control Systems Magazine.

[64]  Rajagopalan Devanathan,et al.  Neural network approach for linearizing control of nonlinear process plants , 2000, IEEE Trans. Ind. Electron..

[65]  Marios M. Polycarpou,et al.  Neural-network-based robust fault diagnosis in robotic systems , 1997, IEEE Trans. Neural Networks.

[66]  Yoichi Hayashi,et al.  Neuro-Fuzzy Systems Approaches , 1999, J. Adv. Comput. Intell. Intell. Informatics.