BR112023024649A2 - Manutenção preditiva para máquinas industriais - Google Patents

Manutenção preditiva para máquinas industriais

Info

Publication number
BR112023024649A2
BR112023024649A2 BR112023024649A BR112023024649A BR112023024649A2 BR 112023024649 A2 BR112023024649 A2 BR 112023024649A2 BR 112023024649 A BR112023024649 A BR 112023024649A BR 112023024649 A BR112023024649 A BR 112023024649A BR 112023024649 A2 BR112023024649 A2 BR 112023024649A2
Authority
BR
Brazil
Prior art keywords
module
subordinate
modules
training
predictive maintenance
Prior art date
Application number
BR112023024649A
Other languages
English (en)
Inventor
Christian Dengler
Cédric Schockaert
Fabrice Hansen
Original Assignee
Wurth Paul Sa
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 Wurth Paul Sa filed Critical Wurth Paul Sa
Publication of BR112023024649A2 publication Critical patent/BR112023024649A2/pt

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
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • 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
    • G05B23/0243—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 model based detection method, e.g. first-principles knowledge model
    • G05B23/0254—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 model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
    • 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
    • G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • 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
    • G05B23/0243—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 model based detection method, e.g. first-principles knowledge model
    • 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
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/096—Transfer learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • General Factory Administration (AREA)

Abstract

manutenção preditiva para máquinas industriais. um preditor de falha implementado por computador tem um arranjo de módulo (373) com primeiro e segundo módulos (313, 323) que são subordinados a um módulo de emissão (363). o primeiro e um segundo módulos subordinados processam dados a partir de uma máquina industrial para determinar primeiro e segundo indicadores de estado intermediários. um terceiro módulo (333) suborientado determina um indicador de modo de operação e o módulo de emissão (363) processa os indicadores de estado e o indicador de modo de operação para prever uma falha da máquina industrial. o arranjo de módulo foi treinado por treinamento em cascata para compreender o treinamento dos módulos subordinados (312, 322, 332), a operação subsequente dos módulos subordinados treinados e o treinamento subsequente do módulo de emissão.
BR112023024649A 2021-06-11 2022-06-10 Manutenção preditiva para máquinas industriais BR112023024649A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
LU500272A LU500272B1 (en) 2021-06-11 2021-06-11 Predictive maintenance for industrial machines
PCT/EP2022/065902 WO2022258835A1 (en) 2021-06-11 2022-06-10 Predictive maintenance for industrial machines

Publications (1)

Publication Number Publication Date
BR112023024649A2 true BR112023024649A2 (pt) 2024-02-20

Family

ID=76921272

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112023024649A BR112023024649A2 (pt) 2021-06-11 2022-06-10 Manutenção preditiva para máquinas industriais

Country Status (8)

Country Link
EP (1) EP4352582A1 (pt)
JP (1) JP2024522982A (pt)
KR (1) KR20240021159A (pt)
CN (1) CN117355804A (pt)
BR (1) BR112023024649A2 (pt)
LU (1) LU500272B1 (pt)
TW (1) TW202316215A (pt)
WO (1) WO2022258835A1 (pt)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116117827B (zh) * 2023-04-13 2023-06-16 北京奔驰汽车有限公司 工业机器人状态监控方法及装置

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012009804A1 (en) * 2010-07-23 2012-01-26 Corporation De L'ecole Polytechnique Tool and method for fault detection of devices by condition based maintenance

Also Published As

Publication number Publication date
JP2024522982A (ja) 2024-06-25
LU500272B1 (en) 2022-12-12
KR20240021159A (ko) 2024-02-16
TW202316215A (zh) 2023-04-16
EP4352582A1 (en) 2024-04-17
CN117355804A (zh) 2024-01-05
WO2022258835A1 (en) 2022-12-15

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