Condition Monitoring of Gas-Turbine Engines
暂无分享,去创建一个
[1] Bernhard Schölkopf,et al. Support Vector Method for Novelty Detection , 1999, NIPS.
[2] Rami Mangoubi,et al. A model based Vehicle Health Monitoring system for the Space Shuttle Main Engine , 1998 .
[3] Robert E. Schapire,et al. The Boosting Approach to Machine Learning An Overview , 2003 .
[4] David Rees,et al. Frequency-domain identification of gas turbine dynamics , 1998, IEEE Trans. Control. Syst. Technol..
[5] Jim Austin,et al. THE ADVANCED UNCERTAIN REASONING ARCHITECTURE, AURA , 1998 .
[6] Ke Chen,et al. Improved learning algorithms for mixture of experts in multiclass classification , 1999, Neural Networks.
[7] Irem Y. Tumer,et al. A SURVEY OF AIRCRAFT ENGINE HEALTH MONITORING SYSTEMS , 1999 .
[8] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[9] Robert T. Clark,et al. AGETS MBR An Application of Model-Based Reasoning to Gas Turbine Diagnostics , 1995, AI Mag..
[10] David Rees,et al. Nonlinear gas turbine modeling using NARMAX structures , 2001, IEEE Trans. Instrum. Meas..
[11] Chuck Trammel,et al. UK Ministry of Defence generic health and usage monitoring system (GenHUMS) , 1997 .
[12] Lionel Tarassenko,et al. Choosing an appropriate model for novelty detection , 1997 .
[13] Michael E. Tipping,et al. Feed-forward neural networks and topographic mappings for exploratory data analysis , 1996, Neural Computing & Applications.
[14] Kenneth Collinge,et al. TEXMAS - an expert system for gas turbine engine diagnosis and more , 1987 .
[15] Graeme L. Merrington. Fault Diagnosis in Gas Turbines Using a Model-Based Technique , 1993 .
[16] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[17] Marios M. Polycarpou,et al. An On-Line Approximation Approach to Fault Monitoring, Diagnosis and Accommodation , 1994 .
[18] Donald B. Percival,et al. AN INTRODUCTION TO SPECTRAL ANALYSIS AND WAVELETS , 1993 .
[19] Michael Kincheloe,et al. On-line learning neural-network controllers for autopilot systems , 1995 .
[20] Samy Bengio,et al. Online policy adaptation for ensemble classifiers , 2004, ESANN.
[21] Anders Krogh,et al. Neural Network Ensembles, Cross Validation, and Active Learning , 1994, NIPS.
[22] Alan Palazzolo,et al. In Operation Detection and Correction of Rotor Imbalance in Jet Engines Using Active Vibration Control , 1994 .
[23] Jim Austin,et al. DAME: Searching Large Data Sets Within a Grid-Enabled Engineering Application , 2005, Proceedings of the IEEE.
[24] Jim Austin,et al. Delivering a Grid enabled Distributed Aircraft Maintenance Environment ( DAME ) , 2003 .
[25] A. P. Dhawan,et al. SSME parameter estimation using radial basis function neural networks , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
[26] Wray L. Buntine,et al. Space Shuttle Main Engine Plume Diagnostics: OPAD Approach to Vehicle Health Monitoring , 1993 .
[27] Peter D. Turney,et al. Contextual normalization applied to aircraft gas turbine engine diagnosis , 2004, Applied Intelligence.
[28] Rolls-Royce,et al. The Jet engine , 1986 .
[29] J. R. McDonald,et al. Model-Based Condition Monitoring of Gas Turbines for Power Generation Duty , 2001 .
[30] Mohamad T. Musavi,et al. On the training of radial basis function classifiers , 1992, Neural Networks.
[31] R. Subbu,et al. Evolutionary design and optimization of aircraft engine controllers , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[32] Lionel Tarassenko,et al. A System for the Analysis of Jet Engine Vibration Data , 1999, Integr. Comput. Aided Eng..
[33] Brian D. Ripley. Complements to 'Pattern Recognition and Neural Networks , 1996 .
[34] Lionel Tarassenko,et al. Guide to Neural Computing Applications , 1998 .
[35] Lionel Tarassenko,et al. Novelty detection for the identification of abnormalities , 2000, Int. J. Syst. Sci..
[36] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[37] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[38] L. Tarassenko,et al. Novelty detection in jet engines , 1999 .
[39] Yang She-zi. An Improved Algorithm for Wavelet Packets and Its Applications to Vibration Diagnosis in Diesel Engines , 2000 .
[40] Andrew R. Webb,et al. Statistical Pattern Recognition , 1999 .
[41] Sieu Phan,et al. Jet engine technical advisor (JETA) , 1989, IEA/AIE '89.
[42] Alexander J. Smola,et al. Online learning with kernels , 2001, IEEE Transactions on Signal Processing.
[43] Geoffrey E. Hinton,et al. Adaptive Mixtures of Local Experts , 1991, Neural Computation.
[44] Silvio Simani,et al. Identification and fault diagnosis of a simulated model of an industrial gas turbine , 2005, IEEE Transactions on Industrial Informatics.
[45] José M. Peña,et al. Data mining to detect abnormal behavior in aerospace data , 2000, KDD '00.
[46] John W. Sammon,et al. A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.
[47] Ian T. Nabney,et al. Netlab: Algorithms for Pattern Recognition , 2002 .
[48] John C. Platt. A Resource-Allocating Network for Function Interpolation , 1991, Neural Computation.
[49] Hujun Yin,et al. Wavelet Analysis in Novelty Detection for Combustion Image Data , 2007 .
[50] Robert E. Schapire,et al. A Brief Introduction to Boosting , 1999, IJCAI.
[51] D. Opitz,et al. Popular Ensemble Methods: An Empirical Study , 1999, J. Artif. Intell. Res..
[52] Ian T. Foster,et al. Grid Services for Distributed System Integration , 2002, Computer.
[53] Hans R. Depold,et al. The Application of Expert Systems and Neural Networks to Gas Turbine Prognostics and Diagnostics , 1998 .
[54] Robert P. W. Duin,et al. Sammon's mapping using neural networks: A comparison , 1997, Pattern Recognit. Lett..
[55] Bernhard Schölkopf,et al. Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra , 2000, NIPS.
[56] R. A. Pawlowski,et al. Gas Turbine Engine Health Monitoring and Prognostics , 1999 .
[57] Yang Zhang,et al. Support Vector Machine in Novelty Detection for Multi-channel Combustion Data , 2006, ISNN.
[58] LiJie Yu,et al. A novel approach to aircraft engine anomaly detection and diagnostics , 2004, 2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720).
[59] Tim C. Lieuwen,et al. Investigation of combustion instability mechanisms in premixed gas turbines , 1999 .
[60] Gregory Piatetsky-Shapiro,et al. Advances in Knowledge Discovery and Data Mining , 2004, Lecture Notes in Computer Science.
[61] Visakan Kadirkamanathan,et al. Decision support system on the grid , 2005, Int. J. Knowl. Based Intell. Eng. Syst..
[62] Inderjit Chopra,et al. Helicopter Rotor System Health Monitoring Using Numerical Simulation and Neural Networks , 1997 .
[63] L. J. Kangas,et al. An artificial neural network system for diagnosing gas turbine engine fuel faults , 1994 .
[64] Moonis Ali,et al. Pattern-based fault diagnosis using neural networks , 1988, IEA/AIE '88.
[65] L. Tarassenko,et al. BIOSIGN/spl trade/ : multi-parameter monitoring for early warning of patient deterioration , 2005 .
[66] D. Osypiw,et al. On-Line Vibration Analysis with Fast Continuous Wavelet Algorithm for Condition Monitoring of Bearing , 2003 .
[67] Xin Yao,et al. Ensemble learning via negative correlation , 1999, Neural Networks.
[68] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[69] William H. Press,et al. The Art of Scientific Computing Second Edition , 1998 .