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Research on three-state reliability evaluation method of high reliability system based on multi-source prior

Jingde Huang1, Zhangyu Huang2, Xin Zhan3

  • 1Guangdong Intelligent Vision Precision Detection Engineering Technology Research Center, Zhuhai College of Science and Technology, Zhuhai, China.

Peerj. Computer Science
|August 7, 2023
PubMed
Summary

This study introduces a novel reliability evaluation method for high reliability systems, utilizing multi-source prior information to accurately assess equipment status and reduce testing costs. The proposed approach supports informed preventive maintenance and offers significant economic benefits.

Keywords:
High reliability systemInformation fusionNo failure informationPrior informationReliability evaluationScientific computingThree-state system

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Area of Science:

  • Engineering
  • Reliability Engineering
  • Systems Engineering

Background:

  • High reliability systems are complex, costly, and often involve small sample sizes, creating a conflict between reliability requirements and testing expenses.
  • Traditional reliability evaluation faces challenges due to the difficulty in accurately judging system states and the risk of unnecessary maintenance.
  • Understanding the three working states (safety, potential failure, functional failure) is crucial for effective reliability assessment.

Purpose of the Study:

  • To develop a reliability evaluation model for high reliability equipment using multi-source prior information, especially under small sample size conditions.
  • To address the challenges of multi-state system reliability evaluation and provide a scientific method for condition assessment.
  • To reduce sampling test costs while ensuring system reliability.

Main Methods:

  • Fusing multi-source prior information, including historical test data from different states (safety, potential failure, functional failure).
  • Developing a reliability evaluation model based on non-information prior distribution for multi-state systems.
  • Applying scientific computing methods for condition evaluation and fund assurance.

Main Results:

  • The proposed three-state reliability evaluation method aligns with actual engineering scenarios.
  • The method accurately evaluates the reliability status of high reliability systems.
  • Significant reduction in test costs was achieved, demonstrating good economic benefits.

Conclusions:

  • The research provides a scientific theoretical basis for the preventive maintenance of high reliability systems.
  • The developed method offers practical ideas and approaches for reliability evaluation and optimization.
  • The study highlights the value of leveraging multi-source prior information for cost-effective and accurate reliability assessment.