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Inspection and maintenance optimization for heterogeneity units in redundant structure with Non-dominated Sorting

Aibo Zhang1, Songhua Hao2, Min Xie1

  • 1Department of Advanced Design and Systems Engineering, City University of Hong Kong, Hong Kong SAR; Center for Intelligent Multidimensional Data Analysis, Hong Kong Science Park, Hong Kong SAR.

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|October 17, 2022
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Summary

This study introduces a new inspection policy for redundant systems, considering individual unit degradation. It balances system unavailability and maintenance costs for improved reliability and decision-making.

Keywords:
1oo2 configurationActivation sequenceAdaptive inspectionMaintenance optimizationNSGA-III algorithmRedundant structure

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Area of Science:

  • Reliability Engineering
  • System Safety Analysis
  • Stochastic Processes

Background:

  • Redundant systems enhance reliability by maintaining function after unit failure.
  • Traditional models assume uniform unit aging and shock resistance, which is often unrealistic.
  • Individual unit shocks necessitate tailored inspection strategies for safety.

Purpose of the Study:

  • To address stochastic dependencies in redundant systems using a novel activation sequence.
  • To propose an adaptive system-level inspection policy prioritizing units with worse states.
  • To optimize system unavailability and maintenance costs through advanced algorithms.

Main Methods:

  • Introduction of a novel activation sequence to model stochastic dependencies.
  • Development of an adaptive inspection policy that prioritizes degrading units.
  • Utilization of Monte Carlo simulations to estimate system unavailability and maintenance costs.
  • Application of the Non-dominated Sorting Genetic Algorithm III (NSGA-III) for multi-objective optimization.

Main Results:

  • Demonstrated contradiction between minimizing system unavailability and maintenance costs.
  • Identified optimal trade-off solutions between system unavailability and maintenance costs.
  • Validated the effectiveness of the proposed adaptive inspection policy.

Conclusions:

  • The novel activation sequence and adaptive inspection policy effectively manage redundant system reliability.
  • The NSGA-III algorithm provides valuable insights for practitioners in balancing system performance and cost.
  • This research offers a more realistic approach to inspecting and maintaining complex redundant systems.