WO2023204769A3 - System and method for performing statistical failure modelling - Google Patents

System and method for performing statistical failure modelling Download PDF

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Publication number
WO2023204769A3
WO2023204769A3 PCT/SG2023/050276 SG2023050276W WO2023204769A3 WO 2023204769 A3 WO2023204769 A3 WO 2023204769A3 SG 2023050276 W SG2023050276 W SG 2023050276W WO 2023204769 A3 WO2023204769 A3 WO 2023204769A3
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WO
WIPO (PCT)
Prior art keywords
phase boundary
candidate phase
function
modelling
performing statistical
Prior art date
Application number
PCT/SG2023/050276
Other languages
French (fr)
Other versions
WO2023204769A2 (en
Inventor
Yipeng PANG
Guoqiang Hu
Yap Peng Tan
Sungin CHO
Original Assignee
Nanyang Technological University
Sp Powerassets Limited
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.)
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Publication date
Application filed by Nanyang Technological University, Sp Powerassets Limited filed Critical Nanyang Technological University
Publication of WO2023204769A2 publication Critical patent/WO2023204769A2/en
Publication of WO2023204769A3 publication Critical patent/WO2023204769A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/08—Probabilistic or stochastic CAD
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Algebra (AREA)
  • Evolutionary Biology (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • General Factory Administration (AREA)

Abstract

Aspects concern a method for performing statistical failure modelling, comprising; generating, for each time of a sequence of times, a respective data point from failure data of a group of devices, generating, for each of a plurality of candidate phase boundary times among the times of the sequence of times, a first fitted function by fitting a first instance of a parameterized function to the data points of times before the candidate phase boundary time and a second fitted function by fitting a second instance of the parameterized function to the data points of times after the candidate phase boundary time, determining, for each candidate phase boundary time, a difference between the first fitted function and the second fitted function, and modelling failure behaviour of the group of devices depending on whether there is a candidate phase boundary time for which the determined difference is above a predetermined threshold.
PCT/SG2023/050276 2022-04-22 2023-04-21 System and method for performing statistical failure modelling WO2023204769A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SG10202204269X 2022-04-22
SG10202204269X 2022-04-22

Publications (2)

Publication Number Publication Date
WO2023204769A2 WO2023204769A2 (en) 2023-10-26
WO2023204769A3 true WO2023204769A3 (en) 2023-12-14

Family

ID=88420776

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/SG2023/050276 WO2023204769A2 (en) 2022-04-22 2023-04-21 System and method for performing statistical failure modelling

Country Status (1)

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WO (1) WO2023204769A2 (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109325629A (en) * 2018-10-10 2019-02-12 中国石油化工股份有限公司 In-service rotating machinery mechanical seal leakage failure prediction method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109325629A (en) * 2018-10-10 2019-02-12 中国石油化工股份有限公司 In-service rotating machinery mechanical seal leakage failure prediction method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
TANG Z. ET AL.: "Comparison of the Weibull and the Crow-AMSAA Model in Prediction of Early Cable Joint Failures", IEEE TRANSACTIONS ON POWER DELIVERY, vol. 30, no. 6, 2 March 2015 (2015-03-02), pages 2410 - 2418, XP011590421, [retrieved on 20231108], DOI: 10.1109/TPWRD.2015.2404926 *
WANG JINGJING; YIN HUI: "Failure Rate Prediction Model of Substation Equipment Based on Weibull Distribution and Time Series Analysis", IEEE ACCESS, IEEE, USA, vol. 7, 1 January 1900 (1900-01-01), USA , pages 85298 - 85309, XP011734413, DOI: 10.1109/ACCESS.2019.2926159 *

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WO2023204769A2 (en) 2023-10-26

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