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Apparatus and method for selecting a working data set for model development 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/18
출원번호 US-0642779 (1996-05-03)
발명자 / 주소
  • Guiver John P.
  • Klimasauskas Casimir C.
출원인 / 주소
  • Aspen Technology Inc.
대리인 / 주소
    Pravel, Hewitt & Kimball
인용정보 피인용 횟수 : 98  인용 특허 : 0

초록

The present invention provides a data selection apparatus which augments a set of training examples with the desired output data. The resulting augmented data set is normalized such that the augmented data values range between -1 and +1 and such that the mean of the augmented data set is zero. The d

대표청구항

[ We claim:] [18.] An apparatus for generating a working set of data from a full set of data in a computer for building an analyzer, said analyzer having target outputs, said apparatus comprising:a cumulator for augmenting said full set of data with the target outputs;an adjuster coupled to said cum

이 특허를 인용한 특허 (98)

  1. Miller, John Philip, Abnormal situation prevention in a heat exchanger.
  2. Eryurek,Evren; Kavaklioglu,Kadir; Miller,John P., Abnormal situation prevention in a process plant.
  3. Zhang, Bin; Hsu, Meichun; Kleyner, Igor, Aggregated clustering method and system.
  4. Kavaklioglu,Kadir; Dillon,Steven R.; Rome,Gregory H.; Westbrock,Jon, Aggregation of asset use indices within a process plant.
  5. Klimasauskas Casimir C., Analyzer for modeling and optimizing maintenance operations.
  6. Paris, John Kenneth Floyd; Follett, IV, William Wallace, Architecture for automated analysis and design with read only structure.
  7. Eryurek, Evren; Harris, Stuart; Hokeness, Scott N.; Reeves, Todd W.; Garvey, III, Raymond E., Asset optimization reporting in a process plant.
  8. Eryurek, Evren; Harris, Stuart; Hokeness, Scott Nels; Reeves, Todd; Garvey, III, Raymond E., Asset optimization reporting in a process plant.
  9. Eryurek, Evren; Harris, Stuart; Marschall, Lester (David); Hokeness, Scott Nels, Automatic work order/parts order generation and tracking.
  10. Jones, Barbara L.; Smith, Paul; Clifton, Jason Mark, Battery testing and classification.
  11. Eryurek, Evren, Cavitation detection in a process plant.
  12. Shetty, Ravindra K.; Thyagarajan, Venkatesan, Combinatorial approach for supervised neural network learning.
  13. Wegerich, Stephan W., Complex signal decomposition and modeling.
  14. Turner, Paul; Guiver, John P.; Lines, Brian; Treiber, S. Steven, Computer method and apparatus for constraining a non-linear approximator of an empirical process.
  15. Turner, Paul; Guiver, John P.; Lines, Brian; Treiber, S. Steven, Computer method and apparatus for constraining a non-linear approximator of an empirical process.
  16. Turner,Paul; Guiver,John P.; Lines,Brian; Treiber,S. Steven, Computer method and apparatus for constraining a non-linear approximator of an empirical process.
  17. Anthony Passera, Computer system and process for training of analytical models using large data sets.
  18. Bleackley, David; Wassenhove, Willem Van, Configuration engine for a process simulator.
  19. Eryurek, Evren; Kavaklioglu, Kadir; Miller, John P., Configuration system and method for abnormal situation prevention in a process plant.
  20. Calistri Yeh,Randall J.; Yuan,Bo; Osborne,George B.; Snyder,David L., Construction of trainable semantic vectors and clustering, classification, and searching using trainable semantic vectors.
  21. Calistri Yeh,Randall J.; Yuan,Bo; Osborne,George B.; Snyder,David L., Construction of trainable semantic vectors and clustering, classification, and searching using trainable semantic vectors.
  22. Calistri Yeh,Randall J.; Yuan,Bo; Osborne,George B.; Snyder,David L., Construction of trainable semantic vectors and clustering, classification, and searching using trainable semantic vectors.
  23. Calistri-Yeh, Randall J.; Yuan, Bo; Osborne, George B.; Snyder, David L., Construction of trainable semantic vectors and clustering, classification, and searching using trainable semantic vectors.
  24. Calistri-Yeh, Randall J.; Yuan, Bo; Osborne, George B.; Snyder, David L., Construction of trainable semantic vectors and clustering, classification, and searching using trainable semantic vectors.
  25. Eryurek, Evren; Schleiss, Trevor D., Creation and display of indices within a process plant.
  26. Eryurek,Evren; Schleiss,Trevor D., Creation and display of indices within a process plant.
  27. Eryurek,Evren; Kavaklioglu,Kadir; Miller,John P., Data presentation system for abnormal situation prevention in a process plant.
  28. Eryurek,Evren; Schleiss,Trevor D.; Harris,Stuart, Data sharing in a process plant.
  29. Eryurek,Evren; Harris,Stuart; Hokeness,Scott N., Data visualization within an integrated asset data system for a process plant.
  30. Dillon,Steven R., Delivery of process plant notifications.
  31. Keyes, IV, Marion A.; Nixon, Mark J.; Blevins, Terrence Lynn, Economic calculations in a process control system.
  32. Keyes, Marion A.; Nixon, Mark J.; Blevins, Terrence Lynn, Economic calculations in a process control system.
  33. Liu, Chaojun; Gong, Yifan, Enhanced automatic speech recognition using mapping between unsupervised and supervised speech model parameters trained on same acoustic training data.
  34. Eryurek, Evren; Ramachandran, Ram; Scott, Cindy Alsup; Schleiss, Trevor Duncan, Enhanced fieldbus device alerts in a process control system.
  35. Eryurek, Evren; Westbrock, Jon Dale; Llewellyn, Craig Thomas, Enhanced hart device alerts in a process control system.
  36. Campos, Marcos M., Fast vector quantization with topology learning.
  37. Eryurek, Evren; Dewar, Ian Bryce, Fiducial technique for estimating and using degradation levels in a process plant.
  38. Miller, John Philip, Field device with capability of calculating digital filter coefficients.
  39. Reeves, Todd; Hilemon, Christopher; Walton, Keith, Generation of data indicative of machine operational condition.
  40. Miller, John Philip, Heat exchanger fouling detection.
  41. Trepess, David William; Thorpe, Jonathan Richard, Information storage and retrieval.
  42. Swamy, Gitanjali, Insight and algorithmic clustering for automated synthesis.
  43. Swamy, Gitanjali, Insight and algorithmic clustering for automated synthesis.
  44. Eryurek, Evren; Llewellyn, Craig Thomas; Marschall, Lester David; Westbrock, Jon D.; Harris, Stuart A.; Hokeness, Scott N., Integrated alert generation in a process plant.
  45. Eryurek, Evren; Krouth, Terrance F.; Lansing, Jane E., Integrated configuration system for use in a process plant.
  46. Eryurek, Evren; Harris, Stuart Andrew; Hokeness, Scott Nels; Marschall, Lester David, Integrated device alerts in a process control system.
  47. Eryurek, Evren; Hokeness, Scott N.; Harris, Stuart; Dillon, Steven; Rome, Greg; Westbrock, Jon; Kavaklioglu, Kadir, Integrated navigational tree importation and generation in a process plant.
  48. Herzog, James P., Kernel-based method for detecting boiler tube leaks.
  49. Flanagan, Adrian, Mechanism for unsupervised clustering.
  50. Kephart, Richard W.; Sanchez, Herman; Abruzere, Eugene, Method and apparatus for deploying industrial plant simulators using cloud computing technologies.
  51. Armstrong, Steve; Hokeness, Scott N.; Di Giovanni, Augustine, Method and apparatus for monitoring and performing corrective measures in a process plant using monitoring data with corrective measures data.
  52. Nixon,Mark J.; Keyes, IV,Marion A.; Schleiss,Trevor D.; Gudaz,John A.; Blevins,Terrence L., Method and apparatus for performing a function in a plant using process performance monitoring with process equipment monitoring and control.
  53. Armstrong, Stephen; Hokeness, Scott N.; Di Giovanni, Augustine, Method and apparatus for performing a function in a process plant using monitoring data with criticality evaluation data.
  54. Opheim,Greg; Sigtermans,Walt; Wilson,Sean, Method and apparatus for providing help information in multiple formats.
  55. Schäffler, Stefan; Sturm, Thomas, Method and device for reducing a number of measured values of a technical system.
  56. Miller, John P., Method and system for detecting abnormal operation of a level regulatory control loop.
  57. Scott,Cindy; Havekost,Robert; Reeves,Todd, Method and system for integrated alarms in a process control system.
  58. Miller, John Philip, Method and system for modeling a process variable in a process plant.
  59. Otte Ralf,DEX ; Rappenecker Gerd,DEX ; Goser Karl,DEX, Method for analysis and display of transient process events using Kohonen map.
  60. Otte Ralf,DEX, Method for controlling process events using neural network.
  61. Patel, Shail, Method for finding solutions.
  62. Dobrowski, Patrick M.; Hokeness, Scott N.; Middendorf, Fred G., Method for launching applications.
  63. Patel, Shail, Method for optimizing formulations.
  64. Tsai, Kun-Cheng, Method of multi-level facial image recognition and system using the same.
  65. Herzog, James P., Method of sequential kernel regression modeling for forecasting and prognostics.
  66. Agrafiotis,Dimitris K; Rassokhin,Dmitrii N; Lobanov,Victor S; Salemme,Francis R, Method, system, and computer program product for representing object relationships in a multidimensional space.
  67. Dobrowski,Pat; Wilson,Sean; Hong,Nghy; Snyder,Eric, Methods and apparatus for importing device data into a database system used in a process plant.
  68. Sinclair,Andrew, Methods and apparatus for simulating industrial processes.
  69. Miller, John P.; Kant, Ravi, Methods and systems for detecting deviation of a process variable from expected values.
  70. Miller, John P.; Kant, Ravi, Methods and systems for detecting deviation of a process variable from expected values.
  71. Oke,Harsh Pramod, Methods and systems for modeling power plants.
  72. Miller, John P., Modeling a process using a composite model comprising a plurality of regression models.
  73. Herzog, James P., Monitoring method using kernel regression modeling with pattern sequences.
  74. Lundeberg, Marcus R.; Samardzija, Nikola; Miller, John P., Multivariate monitoring and diagnostics of process variable data.
  75. Samardzija, Nikola; Miller, John Philip, On-line monitoring and diagnostics of a process using multivariate statistical analysis.
  76. Samardzija, Nikola; Miller, John Philip, On-line multivariate analysis in a distributed process control system.
  77. Kittler, Josef; Windeatt, Terry, Personal identity verification process and system.
  78. Dillon, Steven R.; Rome, Gregory H., Personalized plant asset data representation and search system.
  79. Fiorillo, Christopher, Prediction by single neurons and networks.
  80. Mishra,Amulya, Reducing number of computations in a neural network modeling several data sets.
  81. Eryurek, Evren; Smith, Ross Stephen; Dewar, Ian Bryce; Raynor, Stuart Brian; Minto, Jeffrey Alan, Remote analysis of process control plant data.
  82. Hines, J. Wesley, Robust distance measures for on-line monitoring.
  83. Gutta, Srinivas; Philomin, Vasanth; Trajkovic, Miroslav, Self-organizing feature map with improved performance by non-monotonic variation of the learning rate.
  84. Miller, John P., Simplified algorithm for abnormal situation prevention in load following applications including plugged line diagnostics in a dynamic process.
  85. Miller, John Philip, Simplified algorithm for abnormal situation prevention in load following applications including plugged line diagnostics in a dynamic process.
  86. Balentine, James R.; Dicaire, Andre A.; Scott, Cindy A.; Lattimer, Donald Robert; Schibler, Kenneth; Shepard, John R.; Jundt, Larry O., Software lockout coordination between a process control system and an asset management system.
  87. Miller, John P.; Lundeberg, Marcus R., Statistical signatures used with multivariate analysis for steady-state detection in a process.
  88. Heavner, III, Louis W.; Sharpe, Jr., Joseph H.; Eryurek, Evren; Kavaklioglu, Kadir, System and method for detecting an abnormal situation associated with a heater.
  89. Sharpe, Jr., Joseph H., System and method for detecting an abnormal situation associated with a process gain of a control loop.
  90. Ford, Jr.,Ferrill E.; Eryurek,Evren, System and method for detecting an abnormal situation associated with a reactor.
  91. Kumar, Tarun; Parija, Gyana R.; Xi, Haifeng, System and method for optimization process repeatability in an on-demand computing environment.
  92. Eryurek, Evren; Westbrock, Jon, System for preserving and displaying process control data associated with an abnormal situation.
  93. Herzog, James P., System of sequential kernel regression modeling for forecasting and prognostics.
  94. Stotts, Benjamin Hunter, Systems and methods for classifying account data using artificial neural networks.
  95. Schleiss,Trevor D.; Nixon,Mark J.; Peterson,Neil J.; Felts,Christopher; Wilson,Grant, Transactional data communications for process control systems.
  96. Sirosh Joseph, Unsupervised identification of nonlinear data cluster in multidimensional data.
  97. Peterson, Neil J.; Deitz, David L.; Wilson, Grant; Zhou, Ling; Tanyous, Ebtesam S.; Worek, Christopher J.; Nixon, Mark J., Web services-based communications for use with process control systems.
  98. Peterson, Neil J.; Deitz, David L.; Wilson, Grant; Zhou, Ling; Tanyous, Ebtesam S.; Worek, Christopher J.; Nixon, Mark J., Web services-based communications for use with process control systems.
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