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MX2018002760A - Procedimiento y sistema de monitorizacion de estado y de identificacion de firma de fallos. - Google Patents

Procedimiento y sistema de monitorizacion de estado y de identificacion de firma de fallos.

Info

Publication number
MX2018002760A
MX2018002760A MX2018002760A MX2018002760A MX2018002760A MX 2018002760 A MX2018002760 A MX 2018002760A MX 2018002760 A MX2018002760 A MX 2018002760A MX 2018002760 A MX2018002760 A MX 2018002760A MX 2018002760 A MX2018002760 A MX 2018002760A
Authority
MX
Mexico
Prior art keywords
low
estimated
window
fault signature
signature identification
Prior art date
Application number
MX2018002760A
Other languages
English (en)
Other versions
MX385013B (es
Inventor
Shroff Gautam
Malhotra Pankaj
Vig Lovekesh
Agarwal Puneet
T V Vishnu
Gugulothu Narendhar
Original Assignee
Tata Consultancy Services Ltd
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 Tata Consultancy Services Ltd filed Critical Tata Consultancy Services Ltd
Publication of MX2018002760A publication Critical patent/MX2018002760A/es
Publication of MX385013B publication Critical patent/MX385013B/es

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13—Receivers
    • G01S19/23—Testing, monitoring, correcting or calibrating of receiver elements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00—Testing of engines
    • G01M15/14—Testing gas-turbine engines or jet-propulsion engines
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/079—Root cause analysis, i.e. error or fault diagnosis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3452—Performance evaluation by statistical analysis

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Artificial Intelligence (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biomedical Technology (AREA)
  • Evolutionary Biology (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Algebra (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Software Systems (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computing Systems (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Debugging And Monitoring (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

Se desvelan un sistema y un procedimiento de monitorización de estado y de identificación de firma de fallos de un sistema. En una realización, el sistema estima el Índice de Estado (HI) del sistema como datos de series temporales. Mediante el análisis de los datos correspondientes al HI estimado, el sistema identifica una o más ventanas de tiempo en las que la mayoría de los valores de HI estimados son bajos, como una ventana de HI bajo y una o más ventanas de tiempo en las que la mayoría de los valores de HI estimados son altos, como una ventana de HI alto. Tras la identificación de una ventana de HI bajo, que indica un comportamiento anormal del sistema que se está monitorizando, el sistema, en base a una red bayesiana local generada para el sistema que se está monitorizando, genera un Índice de Explicabilidad (EI) para cada sensor, en el que el EI cuantifica la contribución del sensor al HI bajo. Además, los componentes asociados se identifican como contribuyentes al comportamiento anormal/defectuoso del sistema.
MX2018002760A 2017-08-18 2018-03-05 Procedimiento y sistema de monitorizacion de estado y de identificacion de firma de fallos MX385013B (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN201721029392 2017-08-18

Publications (2)

Publication Number Publication Date
MX2018002760A true MX2018002760A (es) 2019-03-07
MX385013B MX385013B (es) 2025-03-14

Family

ID=61198695

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2018002760A MX385013B (es) 2017-08-18 2018-03-05 Procedimiento y sistema de monitorizacion de estado y de identificacion de firma de fallos

Country Status (6)

Country Link
US (1) US10719774B2 (es)
EP (1) EP3444724B1 (es)
JP (1) JP6813522B2 (es)
AU (1) AU2018201487B2 (es)
CA (1) CA2997489C (es)
MX (1) MX385013B (es)

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CN110462594B (zh) * 2018-11-02 2023-11-14 创新先进技术有限公司 监测多个系统指标的方法和系统
CN110795260B (zh) * 2019-09-10 2023-08-08 武汉攀升鼎承科技有限公司 一种智能客户关怀系统
CN111175054B (zh) * 2020-01-08 2021-12-03 沈阳航空航天大学 一种基于数据驱动的航空发动机故障诊断方法
US11170894B1 (en) * 2020-04-02 2021-11-09 Robert William Kocher Access and temperature monitoring system (ATMs)
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CN112650146B (zh) * 2020-12-18 2021-11-19 国家机床质量监督检验中心 一种数控机床多工况下故障诊断优化方法、系统及设备
CN112633476B (zh) * 2020-12-24 2023-09-22 东北大学 一种发动机状态监测方法、系统、设备及介质
US11774956B2 (en) * 2021-03-19 2023-10-03 Hewlett Packard Enterprise Development Lp Anomalous behavior detection by an artificial intelligence-enabled system with multiple correlated sensors
CN113221277B (zh) * 2021-05-14 2022-12-09 西安交通大学 一种基于数字孪生模型的轴承性能退化评估方法及系统
EP4310618B1 (en) * 2022-07-21 2024-11-13 Tata Consultancy Services Limited Method and system for causal inference and root cause identification in industrial processes
CN117723782B (zh) * 2024-02-07 2024-05-03 山东大学 用于桥梁结构健康监测的传感器故障识别定位方法及系统

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Also Published As

Publication number Publication date
EP3444724A1 (en) 2019-02-20
AU2018201487A1 (en) 2019-03-07
EP3444724C0 (en) 2023-12-20
EP3444724B1 (en) 2023-12-20
CA2997489C (en) 2021-03-16
US20190057317A1 (en) 2019-02-21
BR102018004487A2 (pt) 2019-03-26
MX385013B (es) 2025-03-14
AU2018201487B2 (en) 2020-03-12
US10719774B2 (en) 2020-07-21
CA2997489A1 (en) 2019-02-18
JP2019036285A (ja) 2019-03-07
JP6813522B2 (ja) 2021-01-13

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