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Hidden markov models for fault detection in dynamic systems 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/80
출원번호 US-0047135 (1993-04-07)
발명자 / 주소
  • Smyth Padhraic J. (Altadena CA)
출원인 / 주소
  • The United States of America as represented by the Administrator of the National Aeronautics and Space Administration (Washington DC 06)
인용정보 피인용 횟수 : 137  인용 특허 : 0

초록

The invention is a system failure monitoring method and apparatus which learns the symptom-fault mapping directly from training data. The invention first estimates the state of the system at discrete intervals in time. A feature vector x of dimension k is estimated from sets of successive windows of

대표청구항

Apparatus for monitoring a system having a normal working state corresponding to normal operation of said system and a plurality of individual failure states corresponding to different failure modes of said system, said system exhibiting respective sets of measurable parameters corresponding to inpu

이 특허를 인용한 특허 (137)

  1. Schultz John Michael, Adjusting a hidden Markov model tagger for sentence fragments.
  2. Jervis Timothy Tristam,GBX ; Jardine Stuart Inglis,GBX, Alarm system for wellbore site.
  3. Beck-Nielsen, Henning; Madsen, Rasmus Elsborg, Analysis of EEG signals to detect hypoglycaemia.
  4. Wolfe, Thomas D., Anti-terrorism water quality monitoring system.
  5. Nguyen, Anh T.; Emigholz, Kenneth F.; Woo, Stephen S.; Vercher, Stephen D.; Orsak, Steven M.; Alagappan, Perry, Application of abnormal event detection (AED) technology to polymers.
  6. Alagappan, Perry; Emigholz, Kenneth F.; Worden, Kevin R.; Woo, Stephen S.; Nguyen, Anh T., Application of abnormal event detection technology to delayed coking unit.
  7. Emigholz, Kenneth F.; Dash, Sourabh K.; Woo, Stephen S., Application of abnormal event detection technology to fluidized catalytic cracking unit.
  8. Emigholz, Kenneth F.; Kendi, Thomas A.; Woo, Stephen S., Application of abnormal event detection technology to hydrocracking units.
  9. Emigholz,Kenneth F.; McLain,Richard B.; Wang,Robert K.; Woo,Stephen S., Application of abnormal event detection technology to olefins recovery trains.
  10. Deco,Gustavo; Dub챕,Louis J., Arrangement for predicting an abnormality of a system and for carrying out an action which counteracts the abnormality.
  11. Meek, Christopher A.; Shani, Guy, Automated learning of failure recovery policies.
  12. Niedermayr, Michael; Pinckard, Mitchell D.; Glaser, Gerhard P., Automated method and system for determining the state of well operations and performing process evaluation.
  13. Niedermayr, Michael; Pinckard, Mitchell D.; Glaser, Gerhard P.; Vidal de Sousa, Joao Tadeu, Automated method and system for recognizing well control events.
  14. Arlen S. Heger ; Hrishikesh B. Aradhye, Bayesian belief networks for industrial processes.
  15. Hartman, Eric Jon; Peterson, Carsten; Piche, Stephen, Bayesian neural networks for optimization and control.
  16. Bishop, Christopher, Bayesian principal component analysis.
  17. Salzer, Corey Alan; Young, Russell Martin; Carrabba, Michael Mario; Rajasekharan, Vishnu Vardhanan; Fair, Christopher Patrick; Carpenter, Jr., Frank Howland; Lee, John Edwin, Carbon nanotube sensor.
  18. Subramanian,Balan; Chalasani,Nanchariah Raghuveera; Rahman,Javed; Wesley,Ajamu A., Causal ladder mechanism for proactive problem determination, avoidance and recovery.
  19. Wegerich, Stephan W., Complex signal decomposition and modeling.
  20. Rhee, Wonjong; Cioffi, John M.; Lee, Bin; Almandoz, Iker; Ginis, Georgios; Sylke, C. Thomas, DSL system estimation and control.
  21. Matsunaga, Yuko; Yamanishi, Kenji, Detection of abnormal behavior using probabilistic distribution estimation.
  22. Bellingan, Carl; Jorgensen, Atle, Determining abnormal conditions of host state from log files through Markov modeling.
  23. Hentschel, Dieter; Tschoepe, Constanze; Hoffmann, Ruediger; Eichner, Matthias; Wolff, Matthias, Device and method for assessing a quality class of an object to be tested.
  24. Wegerich, Stephan W.; Wolosewicz, Andre; Pipke, R. Matthew, Diagnostic systems and methods for predictive condition monitoring.
  25. Wegerich,Stephan W.; Wolosewicz,Andre; Pipke,R. Matthew, Diagnostic systems and methods for predictive condition monitoring.
  26. Cook, Daniel R., Drug profiling apparatus and method.
  27. Chen, Dingding; Quirein, John A.; Smith, Jr., Harry D.; Hamid, Syed; Grable, Jeffery L., Ensembles of neural networks with different input sets.
  28. James,Mark L.; Mackey,Ryan M. E.; Park,Han G.; Zak,Michail, Exception analysis for multimissions.
  29. Suffern, Edward S., Failure analysis based on time-varying failure rates.
  30. Moorhouse,Timothy James, Fault diagnosis system.
  31. Mayer Rudi,DEX ; Bellmann Holger,DEX ; Menrad Gudrun,DEX ; Dambach Dieter-Andreas,DEX ; Wolf Jurgen,DEX ; Frank Rainer,DEX ; Hillner Hans,DEX ; Schiemann Juergen,DEX ; Mallebrein Georg,DEX, Fault diagnostic device and method.
  32. Khalak, Asif; Dins, C. Arthur; Barton, Bradley John; Magnuson, Randy; Shao, Qingqiu Ginger; Kolbet, David Michael, Fault splitting algorithm.
  33. Bleines, Bruno, Health monitoring system implementing medical diagnosis.
  34. Ko, Byung-Su; Vaidhyanathan, Ramesh; Richter, Jeffrey; O'Connor, Thomas F., Integrated expert system for identifying abnormal events in an industrial plant.
  35. Ronnen U. George, Intelligent alarm filtering in a telecommunications network.
  36. Herzog, James P., Kernel-based method for detecting boiler tube leaks.
  37. Sasaki,Kiyoshi; Katsuta,Hiroshi; Nishizawa,Makoto; Yamaguchi,Yutaka, Management supporting apparatus, management supporting system, management supporting method, management supporting program, and a recording medium with the program recorded therein.
  38. Zegers, Pablo, Method and a system for solving dynamic problems using the dynamical system architecture.
  39. Baraniuk, Richard G.; Baron, Dror Z.; Duarte, Marco F.; Kelly, Kevin F.; Lane, Courtney C.; Laska, Jason N.; Takhar, Dharmpal; Wakin, Michael B., Method and apparatus for compressive imaging device.
  40. Baraniuk, Richard g.; Baron, Dror Z.; Duarte, Marco F.; Kelly, Kevin F.; Lane, Courtney C.; Laska, Jason N.; Takhar, Dharmpal; Wakin, Michael B., Method and apparatus for compressive imaging device.
  41. Baraniuk, Richard G.; Boufounos, Petros T.; Schnelle, Stephen R.; Davenport, Mark A.; Laska, Jason N., Method and apparatus for compressive parameter estimation and tracking.
  42. Herwono, Ian; Cui, Zhan, Method and apparatus for detecting a multi-stage event.
  43. Herwono, Ian; Cui, Zhan; Azvine, Ben; Brown, Martin; Smith, Karl, Method and apparatus for detecting a multi-stage event.
  44. Bechhoefer, Eric Robert, Method and apparatus for determining the health of a component using condition indicators.
  45. Baraniuk,Richard G.; Baron,Dror Z.; Duarte,Marco F.; Sarvotham,Shriram; Wakin,Michael B.; Davenport,Mark, Method and apparatus for distributed compressed sensing.
  46. Baraniuk,Richard G.; Baron,Dror Z.; Duarte,Marco F.; Sarvotham,Shriram; Wakin,Michael B.; Davenport,Mark, Method and apparatus for distributed compressed sensing.
  47. Tryon, III,Robert G.; Dey,Animesh; Nasser,A. Lorenz, Method and apparatus for predicting failure in a system.
  48. Tryon, III, Robert G., Method and apparatus for predicting the failure of a component.
  49. Tryon, III,Robert G., Method and apparatus for predicting the failure of a component.
  50. Loecher,Markus; Darken,Christian, Method and apparatus for providing a polynomial based virtual age estimation for remaining lifetime prediction of a system.
  51. Loecher, Markus, Method and apparatus for providing predictive maintenance of a device by using markov transition probabilities.
  52. Slutsker Ilya (3755 Trenton La. N. Plymouth MN 55441) Mokhtari Sasan (2015 Garland La. Plymouth MN 55447) Clements Kevin (46 Adams St. Westborough MA 01581), Method and apparatus for real time recursive parameter energy management system.
  53. Eklund, Neil Holger White; Yan, Weizhong; Anil, Varma; Bonissone, Piero Patrone, Method and system for automatically developing a fault classification system by segregation of kernels in time series data.
  54. Larimore, Wallace E., Method and system for empirical modeling of time-varying, parameter-varying, and nonlinear systems via iterative linear subspace computation.
  55. Chandra Arun ; Grzinich John Carl ; Kanthanathan Manoranjan, Method and system for evaluating intrusive repair for plurality of devices.
  56. Draber,Silke, Method for assessing the reliability of technical systems.
  57. Srinivasa,Narayan; Jiang,Qin; Barajas,Leandro G., Method for characterization, detection and prediction for target events.
  58. Khalak, Asif; Dins, C. Arthur; Barton, Bradley John; Kolbet, David Michael; Shao, Qingqiu Ginger; Magnuson, Randy, Method for computing the relative likelihood of failures.
  59. Stoddard II Robert William, Method for estimating software operation and performance using a goal-question-metric paradigm.
  60. Milek Janusz,CHX ; Guettinger Heinz,CHX, Method for monitoring plants with mechanical components.
  61. Jaeger,Herbert, Method for supervised teaching of a recurrent artificial neural network.
  62. Kazuo Hashimoto JP; Kazunori Matsumoto JP, Method of fault diagnosis based on propagation model.
  63. Hwang, Yoha; Lee, Jong Min, Method of monitoring machine condition.
  64. Herzog, James P., Method of sequential kernel regression modeling for forecasting and prognostics.
  65. Kolawa Adam K. ; Salvador Roman,ESX ; Hicken Wendell T. ; Strickland Bryan R., Method using a computer for automatically instrumenting a computer program for dynamic debugging.
  66. Roser, Christoph Hermann, Method, computer program, and storage medium for estimating randomness of function of representative value of random variable by the use of gradient of same function.
  67. Yulevitch,Oren; Seror,Jacques; Fisher,Yossi; Peretz,Joseph; Hartman,Jehuda, Methods and apparatus for early fault detection and alert generation in a process.
  68. Tryon, III,Robert G., Methods and apparatus for predicting the failure of a component, and for determining a grain orientation factor for a material.
  69. Vilalta, Ricardo; Rish, Irina, Methods and apparatus for selecting a data classification model using meta-learning.
  70. Herzog, James P., Monitoring method using kernel regression modeling with pattern sequences.
  71. Wegerich, Stephan W., Multivariate residual-based health index for human health monitoring.
  72. Smith, Jr., Harry D.; Quirein, John A.; Grable, Jeffery L.; Chen, Dingding, Neural network based well log synthesis with reduced usage of radioisotopic sources.
  73. Urnes James M. ; Bond William E., Neural network fault diagnostics systems and related method.
  74. Chen, Dingding; Quirein, John A.; Wiener, Jacky M.; Grable, Jeffery L.; Hamid, Syed; Smith, Jr., Harry D., Neural network training data selection using memory reduced cluster analysis for field model development.
  75. Chen, Dingding; Zhong, Allan; Hamid, Syed; Stephenson, Stanley, Neural-network based surrogate model construction methods and applications thereof.
  76. Mott, Jack E., Non-parametric modeling apparatus and method for classification, especially of activity state.
  77. Heine John J. ; Clarke Laurence P. ; Deans Stanley R. ; Stauduhar Richard Paul ; Cullers David Kent, Normal and abnormal tissue identification system and method for medical images such as digital mammograms.
  78. Ninomiya, Syoiti; Katai, Masayuki, Numerical stochastic integration system.
  79. Lee,Suk Han; Lee,Seong Soo; Lee,Jang Yong; Baek,Seung Min, Particle sampling method and sensor fusion and filtering method.
  80. Cook, Daniel R.; Walther, John D., Petroleum exploration and prediction apparatus and method.
  81. Cook, Daniel R.; Walther, John D., Petroleum exploration and prediction apparatus and method.
  82. Cook, Daniel Reed, Petroleum exploration and prediction apparatus and method.
  83. Stanton, Matthew; Treuille, Adrien; Fatahalian, Kayvon; O'Brien, James; Humberston, Ben; Kase, Brandon, Precomputing data for an interactive system having discrete control inputs.
  84. Berwanger Pat, Pressure protection manager system & apparatus.
  85. Guralnik, Valerie; Foslien Graber, Wendy, Principal component analysis based fault classification.
  86. Guralnik,Valerie; Foslien,Wendy K, Principal component analysis based fault classification.
  87. David Kevin Siegwart GB, Probabilistic data clustering.
  88. James, Mark L.; Mackey, Ryan M. E.; Park, Han G.; Zak, Michail, Real-time spatio-temporal coherence estimation for autonomous mode identification and invariance tracking.
  89. Aourane Mehenna,CAX, Reliability growth tool.
  90. Pipke, Robert Matthew, Residual based monitoring of human health.
  91. Pipke, Robert Matthew, Residual-based monitoring of human health.
  92. Hayashi Hironao,JPX, Road/vehicle communication method and device.
  93. Hines, J. Wesley, Robust distance measures for on-line monitoring.
  94. Cook, Daniel Reed, Signal interpretation engine.
  95. Cook,Daniel Reed, Signal interpretation engine.
  96. Mozer Forrest S. ; Mozer Michael C. ; Mozer Todd F., Speech recognition apparatus for consumer electronic applications.
  97. Li Rongsheng ; Wu Yeong-Wei Andy, Stable and verifiable state estimation methods and systems with spacecraft applications.
  98. Wall, Robert S.; Warner, Donald R.; Closson, Jackie R.; Doggett, Patrick J., State transition system and method in interactive computer-based training.
  99. Moon, Todd K.; Gunther, Jacob H., Statistical model for systems incorporating history information.
  100. Thibaux, Romain J.; Kiciman, Emre M.; Maltz, David A.; Platt, John C., Strategies for identifying anomalies in time-series data.
  101. Bickford, Randall L., Surveillance system and method having an operating mode partitioned fault classification model.
  102. Bickford, Randall L., Surveillance system and method having parameter estimation and operating mode partitioning.
  103. Bickford, Randall L., Surveillance system and method having parameter estimation and operating mode partitioning.
  104. Simard,Patrice Y.; Platt,John C.; Steinkraus,David Willard, System and method facilitating pattern recognition.
  105. Simard,Patrice Y.; Platt,Jonathan; Steinkraus,David Willard, System and method facilitating pattern recognition.
  106. Emigholz,Kenneth F.; Wang,Robert K.; Woo,Stephen S.; McLain,Richard B.; Dash,Sourabh K.; Kendi,Thomas A., System and method for abnormal event detection in the operation of continuous industrial processes.
  107. Kadambe, Shubha; Barajas, Leandro G.; Cho, Youngkwan; Bandyopadhyay, Pulak, System and method for signal prediction.
  108. Austin, James; Zhou, Ping, System and method for telecommunications system fault diagnostics.
  109. Volponi, Allan J.; Wood, C. Bruce, System for gas turbine health monitoring data fusion.
  110. Lock, Michael D.; Dalal, Sunil S.; Gluhovsky, Ilya, System for identifying clusters in scatter plots using smoothed polygons with optimal boundaries.
  111. Wintrich, Franz; Stephan, Volker; Schaffernicht, Erik; Steege, Florian, System for monitoring and optimizing controllers for process performance.
  112. Wolfe, Thomas D., System for monitoring discharges into a waste water collection system.
  113. Herzog, James P., System of sequential kernel regression modeling for forecasting and prognostics.
  114. Chan, Hoi Yeung; Chieu, Trieu Can; Mok, Lawrence Shungwei, System to improve predictive maintenance and warranty cost/price estimation.
  115. Owen, Daniel L.; Kusnic, Michael W., System, method and computer program product for a collaborative decision platform.
  116. Owen, Daniel L.; Kusnic, Michael W., System, method and computer program product for a collaborative decision platform.
  117. Owen, Daniel L.; Kusnic, Michael W., System, method and computer program product for a collaborative decision platform.
  118. Chen, Dingding; Hamid, Syed; Dix, Michael C., Systems and methods employing cooperative optimization-based dimensionality reduction.
  119. Meng, Xiaoqiao; Jiang, Guofei; Zhang, Hui; Chen, Haifeng; Yoshihira, Kenji, Systems and methods for automatic profiling of network event sequences.
  120. Mazzaro, Maria Cecilia; Block, Frederick William; Acevedo Giraldi, Pablo Enrique; Sealing, Charles Scott; Talukdar, Atanu; Runkle, Mark Andrew, Systems and methods for improved reliability operations.
  121. Kalgren, Patrick W.; Ginart, Antonio E.; Nanduri, Sashank; Boodhansingh, Anthony J.; Byington, Carl S.; Orsagh, Rolf F.; Sipos, Brian J.; Brown, Douglas W.; Minnella, Christopher M.; Baybutt, Mark, Systems and methods for predicting failure of electronic systems and assessing level of degradation and remaining useful life.
  122. Kalgren, Patrick W.; Ginart, Antonio E.; Nanduri, Shashank; Boodhansingh, Anthony J.; Byington, Carl S.; Orsagh, Rolf; Sipos, Brian; Brown, Douglas W., Systems and methods for predicting failure of electronic systems and assessing level of degradation and remaining useful life.
  123. Duyanovich, Linda M.; Gomez, Juan C.; Pollack, Kristal T.; Uttamchandani, Sandeep M., Technique for mapping goal violations to anamolies within a system.
  124. Matsuoka Masahiro,JPX ; Golea Mostefa,AUX, Time-series trend estimating system and method using column-structured recurrent neural network.
  125. Yuan, Chao; Chakraborty, Amit; Hackstein, Holger; Weber, Hans, Transferring failure samples using conditional models for machine condition monitoring.
  126. Uluyol,Onder; Menon,Sunil K.; Nwadiogbu,Emmanuel O.; Kim,Kyusung, Transient fault detection system and method.
  127. Menon, Sunil K.; Nwadiogbu, Emmanuel O., Transient fault detection system and method using Hidden Markov Models.
  128. Ross John Anderson Fergus ; Hladik Stephen Michael ; Van Stralen Nick Andrew ; Anderson John Bailey, Turbo code decoder with controlled probability estimate feedback.
  129. Rhee, Wonjong; Cioffi, John M.; Ginis, Georgios; Silverman, Peter J., User-preference-based DSL system.
  130. Rhee, Wonjong; Cioffi, John M.; Silverman, Peter J.; Ginis, Georgios, User-preference-based DSL system.
  131. Rhee, Wonjong; Cioffi, John M; Ginis, Georgios; Silverman, Peter J., User-preference-based DSL system.
  132. Chalasani, Nanchariah Raghuveera; Wesley, Ajamu A.; Rahman, Javed; Subramanian, Balan, Using stochastic models to diagnose and predict complex system problems.
  133. Bishop, Christopher; Winn, John; Spiegelhalter, David J., Variational inference engine for probabilistic graphical models.
  134. Barna Gabriel G. ; Butler Stephanie W. ; Sofge Donald A. ; White David A., Virtual sensor based monitoring and fault detection/classification system and method for semiconductor processing equip.
  135. Wolfe, Thomas D., Water monitoring system.
  136. Wolfe, Thomas D., Water monitoring system.
  137. Toyama, Kentaro, computerized aesthetic judgment of images.
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