Multi-state Aperiodic Inspection-based Maintenance Strategy Optimization using Real-time Data-Reference-Cited by-同舟云学术

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Multi-state Aperiodic Inspection-based Maintenance Strategy Optimization using Real-time Data

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence
language:
Short-container-title:

Author:

Zeng Jitong¹^ORCID,He Pan²^ORCID

Affiliation:

1. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China and Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China

2. Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594315.3594389

Reference25 articles.

1. Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints

2. Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life

3. Optimal inspection and preventive maintenance of units with revealed and unrevealed failures

4. Optimization of the inspection intervals of a safety system in a nuclear power plant by Multi-Objective Differential Evolution (MODE)

5. A multi-criteria decision model to determine inspection intervals of condition monitoring based on delay time analysis

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