CN102693262B - 确定现象中变量的影响的方法 - Google Patents

确定现象中变量的影响的方法 Download PDF

Info

Publication number
CN102693262B
CN102693262B CN201210034651.3A CN201210034651A CN102693262B CN 102693262 B CN102693262 B CN 102693262B CN 201210034651 A CN201210034651 A CN 201210034651A CN 102693262 B CN102693262 B CN 102693262B
Authority
CN
China
Prior art keywords
variable
node
variable node
variables
class
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201210034651.3A
Other languages
English (en)
Chinese (zh)
Other versions
CN102693262A (zh
Inventor
R·E·凯兰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
General Electric Co
Original Assignee
General Electric Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by General Electric Co filed Critical General Electric Co
Publication of CN102693262A publication Critical patent/CN102693262A/zh
Application granted granted Critical
Publication of CN102693262B publication Critical patent/CN102693262B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/29Graphical models, e.g. Bayesian networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12Classification; Matching
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Algebra (AREA)
  • Probability & Statistics with Applications (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Operations Research (AREA)
  • Databases & Information Systems (AREA)
  • Geometry (AREA)
  • Computer Hardware Design (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Complex Calculations (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
CN201210034651.3A 2011-02-08 2012-02-08 确定现象中变量的影响的方法 Active CN102693262B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US13/023,181 2011-02-08
US13/023,181 US8560279B2 (en) 2011-02-08 2011-02-08 Method of determining the influence of a variable in a phenomenon
US13/023181 2011-02-08

Publications (2)

Publication Number Publication Date
CN102693262A CN102693262A (zh) 2012-09-26
CN102693262B true CN102693262B (zh) 2017-01-18

Family

ID=45655393

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210034651.3A Active CN102693262B (zh) 2011-02-08 2012-02-08 确定现象中变量的影响的方法

Country Status (7)

Country Link
US (1) US8560279B2 (enExample)
EP (1) EP2492829A1 (enExample)
JP (1) JP2012164314A (enExample)
CN (1) CN102693262B (enExample)
BR (1) BR102012002812A8 (enExample)
CA (1) CA2766560A1 (enExample)
IN (1) IN2012DE00312A (enExample)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9940405B2 (en) 2011-04-05 2018-04-10 Beyondcore Holdings, Llc Automatically optimizing business process platforms
US8560279B2 (en) * 2011-02-08 2013-10-15 General Electric Company Method of determining the influence of a variable in a phenomenon
US20120209575A1 (en) * 2011-02-11 2012-08-16 Ford Global Technologies, Llc Method and System for Model Validation for Dynamic Systems Using Bayesian Principal Component Analysis
US10796232B2 (en) * 2011-12-04 2020-10-06 Salesforce.Com, Inc. Explaining differences between predicted outcomes and actual outcomes of a process
US10802687B2 (en) * 2011-12-04 2020-10-13 Salesforce.Com, Inc. Displaying differences between different data sets of a process
EP2645257A3 (en) * 2012-03-29 2014-06-18 Prelert Ltd. System and method for visualisation of behaviour within computer infrastructure
EP3074927B1 (en) * 2013-11-29 2019-09-18 GE Aviation Systems Limited Method of construction of probabilistic graphical model from data that includes both normal and abnormal data
CN106156067B (zh) * 2015-03-30 2019-11-01 日本电气株式会社 用于为关系数据创建数据模型的方法和系统
WO2020191770A1 (zh) * 2019-03-28 2020-10-01 日本电气株式会社 用于确定因果关系的方法、系统和计算机程序产品
KR102700731B1 (ko) * 2019-10-17 2024-08-30 한국전력공사 배전설비 관리 방법

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008085706A1 (en) * 2007-01-04 2008-07-17 Fisher-Rosemount Systems, Inc. Method and system for modeling behavior in a process plant

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60171507A (ja) * 1984-02-16 1985-09-05 Nippon Atom Ind Group Co Ltd プラントの異常診断方法
US6671661B1 (en) * 1999-05-19 2003-12-30 Microsoft Corporation Bayesian principal component analysis
US7636651B2 (en) * 2003-11-28 2009-12-22 Microsoft Corporation Robust Bayesian mixture modeling
US7519564B2 (en) * 2004-11-16 2009-04-14 Microsoft Corporation Building and using predictive models of current and future surprises
JP5130851B2 (ja) * 2007-09-27 2013-01-30 富士通株式会社 モデル作成支援システム、モデル作成支援方法、モデル作成支援プログラム
WO2009070536A1 (en) 2007-11-30 2009-06-04 Massachusetts Institute Of Technology Method and apparatus for performing probabilistic inference and providing related solution methods
US9598947B2 (en) * 2009-08-07 2017-03-21 Exxonmobil Upstream Research Company Automatic drilling advisory system based on correlation model and windowed principal component analysis
US8306791B2 (en) * 2009-12-21 2012-11-06 United Technologies Corporation Method and system for modeling the performance of a gas turbine engine
US8560279B2 (en) * 2011-02-08 2013-10-15 General Electric Company Method of determining the influence of a variable in a phenomenon

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008085706A1 (en) * 2007-01-04 2008-07-17 Fisher-Rosemount Systems, Inc. Method and system for modeling behavior in a process plant

Also Published As

Publication number Publication date
US20120203517A1 (en) 2012-08-09
BR102012002812A2 (pt) 2017-11-07
EP2492829A1 (en) 2012-08-29
US8560279B2 (en) 2013-10-15
CN102693262A (zh) 2012-09-26
IN2012DE00312A (enExample) 2015-04-10
BR102012002812A8 (pt) 2017-11-21
JP2012164314A (ja) 2012-08-30
CA2766560A1 (en) 2012-08-08

Similar Documents

Publication Publication Date Title
CN102693262B (zh) 确定现象中变量的影响的方法
Nadim et al. Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
Vogl et al. Standards for prognostics and health management (PHM) techniques within manufacturing operations
US11928047B2 (en) Contextual data generation for application testing in mixed reality simulations
Roy et al. An NHPP software reliability growth model with imperfect debugging and error generation
Lazarova-Molnar et al. Data-driven fault tree modeling for reliability assessment of cyber-physical systems
CN104350471A (zh) 利用自动阈值设置在多时间序列数据中实时地检测异常
Simon et al. Aircraft engine gas path diagnostic methods: Public benchmarking results
JP6711323B2 (ja) プロセスの異常状態診断方法および異常状態診断装置
KR102054500B1 (ko) 설계 도면 제공 방법
US7778943B2 (en) Stochastic evidence aggregation system of failure modes utilizing a modified dempster-shafer theory
US20210318671A1 (en) Method for analyzing effects of operator actions in industrial plants
JP7559762B2 (ja) 情報処理装置、情報処理方法、及びプログラム
Tirovolas et al. Introducing fuzzy cognitive map for predicting engine’s health status
Mary Victoria Florence et al. Aeroengine gas trajectory prediction using time-series analysis auto regressive integrated moving average
Iqbal Analysis of some software reliability growth models with learning effects
Li et al. Fault separation and detection algorithm based on Mason Young Tracy decomposition and Gaussian mixture models
Kafunah Uncertainty-aware fault diagnosis for safety-related industrial systems
TWI824681B (zh) 裝置管理系統、裝置的障礙原因推測方法以及非暫時性地記憶程式的記憶媒體
Martí et al. YASA: Yet another time series segmentation algorithm for anomaly detection in big data problems
Kakde et al. A non-parametric control chart for high frequency multivariate data
Shetty et al. A hybrid prognostic model formulation and health estimation of auxiliary power units
John A control chart pattern recognition methodology for controlling information technology-enabled service (ITeS) process customer complaints
Gazali et al. State-of-the-art artificial intelligence approaches for anomaly detection and remaining useful life prediction: a review
Mallamo et al. Balancing Interpretability and Uncertainty in Prognostic Models: A TOPSIS-Based Comparative Analysis of N-CMAPSS DS02 Methods

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant