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Inductive monitoring system constructed from nominal system data and its use in real-time system monitoring

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06N-005/00
출원번호 US-0789029 (2004-02-24)
등록번호 US-7383238 (2008-06-03)
발명자 / 주소
  • Iverson,David L.
출원인 / 주소
  • The United States of America as represented by the Administrator of the National Aeronautics and Space Administration
대리인 / 주소
    Schipper,John F.
인용정보 피인용 횟수 : 10  인용 특허 : 30

초록

The present invention relates to an Inductive Monitoring System (IMS), its software implementations, hardware embodiments and applications. Training data is received, typically nominal system data acquired from sensors in normally operating systems or from detailed system simulations. The training

대표청구항

What is claimed is: 1. A method of inductive learning comprising providing a computer that is programmed: to provide or receive training data, including at least one of archived data, simulated nominal data and off-nominal data; to provide vectors having a set of parameters determined from the trai

이 특허에 인용된 특허 (30)

  1. Lichtenwalner Peter F. ; Dunne James P. ; Becker Ronald S. ; Baumann Erwin W., Active damage interrogation method for structural health monitoring.
  2. Steven M. Hoffberg ; Linda I. Hoffberg-Borghesani, Adaptive pattern recognition based control system and method.
  3. Bagne Curtis A., Computational method and system to perform empirical induction.
  4. Medl Robert E., GUI guide for data mining.
  5. Magill Alan,GBX ITX WC2E 8AA, Health monitoring.
  6. Maus, Christopher T.; Coad, Craig A.; Connolly, Jackson B.; Coad, Noah M.; Moody, James L.; Nesbitt, Kenn A.; Clegg, Kenneth D., Health monitoring and diagnostic device and network-based health assessment and medical records maintenance system.
  7. Webb, James D.; Bennett, Tom Dean, Heart failure monitor quicklook summary for patient management systems.
  8. Thomas Gary O'Keeffe ; Gregory Dennis Coulter ; Steven Hector Azzaro ; Vinay Bhaskar Jammu ; Edward Brittain Stokes ; John Charles Crouse ; Alfonso M. Delgado Cruz MX; Enrique Betancourt MX, Intelligent analysis system and method for fluid-filled electrical equipment.
  9. Nozaki Chikanori (Kawasaki JPX) Murai Junko (Kawasaki JPX) Nakatani Yoshihiro (Kawasaki JPX), Learning system operated through a layered neural network.
  10. Sillen Rudolf Vallentin (Ronneby SEX) Wessberg Goran (Upsala SEX), Method and apparatus for controlled individualized medication.
  11. Scarth Gordon B.,CAX ; Somorjai R. L.,CAX, Method and apparatus for detection of events or novelties over a change of state.
  12. Powsner Seth M. (285 Ridge Rd. Hamden CT 06517) Tufte Edward Rolf (1161 Sperry Rd. Cheshire CT 06410), Method and apparatus for graphical modeling of psychiatric and medical records.
  13. Gary Howard GB, Method and apparatus for inducing rules from data classifiers.
  14. Marlin Tom, Method and system for constructing formulae for processing medical data.
  15. Agrawal Rakesh ; Srikant Ramakrishnan, Method and system for mining generalized sequential patterns in a large database.
  16. Walter K. Utt, Method for characterization of rock strata in drilling operations.
  17. Tuzhilin Alexander S. ; Adomavicius Gediminas, Method for determining actionable patterns in a database.
  18. Ornstein Leonard (White Plains NY), Method for unsupervised neural network classification with back propagation.
  19. Maruoka Tetsuya (Sagamihara JPX) Yasunobu Chizuko (Yokohama JPX) Hirose Tadashi (Komae JPX) Kida Mayumi (Kawasaki JPX) Ino Kouichiro (Sagamihara JPX) Miyagawa Yoshiya (Tokyo JPX), Method of supporting decision-making for predicting future time-series data using measured values of time-series data st.
  20. Brandwajn Vladimir (San Jose CA) Ipakchi Ali (San Carlos CA) Kumar A. B. Ranjit (Cupertino CA) Cauley Gerald W. (San Jose CA), Neural network for contingency ranking dynamic security indices for use under fault conditions in a power distribution s.
  21. Wang Chuanming (St. Louis MO) Leibu Mark H. (St. Louis MO), Pattern recognition using artificial neural network for coin validation.
  22. Tran Bao Q. ; Anthony Craig A., Remote data access and management system.
  23. Fayyad, Usama; Bradley, Paul S.; Reina, Cory A., Scalable system for clustering of large databases having mixed data attributes.
  24. Goebel Kai Frank ; Doel David Lacey, System and method for generating alerts through multi-variate data assessment.
  25. Pieter Willem Adriaans NL; Arno Jan Knobbe NL; Marc Gathier NL, System and method for model mining complex information technology systems.
  26. Chou Paul Bao-Luo ; Iyer Bhavani S. ; Lai Jennifer ; Levas Anthony ; Lieberman Lawrence Isaac ; Liu Te-Kai ; Moskowitz Paul Andrew ; Tang Jung-Mu ; Williams Rose Marie ; Wong Danny Chan-Yong ; Chakra, System and method for vehicle diagnostics and health monitoring.
  27. Thibado Michael J. (Excelsior MN) Morrison Dennis P. (Minnetonka MN) Nichols Dean R. (Chaska MN), System and process for information management and reporting.
  28. Sirosh Joseph, Unsupervised identification of nonlinear data cluster in multidimensional data.
  29. Ornstein Leonard (White Plains NY), Unsupervised neural network classification with back propagation.
  30. Johnson Carroll D. (4001 Granada Dr. ; SE. Huntsville AL 35802), Zee parameter estimator/identifier.

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  1. Hartman, Jehuda; Brill, Eyal; Kokolov, Yuri, Apparatus and method for the analysis of a process having parameter-based faults.
  2. Morris, Aaron C., Collaborative feature extraction system for three dimensional datasets.
  3. Tsuchikiri, Hideyuki; Sato, Yasushi; Aihara, Jiro, Generation of reference value for vehicle failure diagnosis.
  4. Uehara, Yasuo, Method and system for describing and organizing image data.
  5. Uehara, Yasuo, Method and system for describing and organizing image data.
  6. Uehara, Yasuo, Method and system for detecting gaps between objects.
  7. Uehara, Yasuo, Method and system for extracting messages.
  8. Akhrarov, Murad; Bates, Joe; Millett, Peter; Sharma, Chanchal, Method for analyzing and classifying process data that operates a knowledge base in an open-book mode before defining any clusters.
  9. Uehara, Yasuo, Omni traction wheel system and methods of operating the same.
  10. Iverson, David J., System and method for outlier detection via estimating clusters.
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