Condition-Based Maintenance Optimization Method Using Performance Margin
As a maintenance strategy to reduce unexpected failures and enable safe operation, condition-based maintenance (CBM) has been widely used in recent years. The maintenance decision criteria of CBM in the literature mostly originate from statistical failure data or degradation states, few of which can...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Axioms |
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| Online Access: | https://www.mdpi.com/2075-1680/12/2/168 |
| _version_ | 1827758632161247232 |
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| author | Shuyu Li Meilin Wen Tianpei Zu Rui Kang |
| author_facet | Shuyu Li Meilin Wen Tianpei Zu Rui Kang |
| author_sort | Shuyu Li |
| collection | DOAJ |
| description | As a maintenance strategy to reduce unexpected failures and enable safe operation, condition-based maintenance (CBM) has been widely used in recent years. The maintenance decision criteria of CBM in the literature mostly originate from statistical failure data or degradation states, few of which can directly and effectively reflect the current state and analyze condition monitoring data, maintenance measures, and reliability together at the same time. In this paper, we introduce the performance margin as a decision criterion of CBM. We propose a condition-based maintenance optimization method using performance margin. Considering a CBM optimization problem for a degrading and periodically inspected component, a newly developed performance margin degradation model is established when three different maintenance measures become involved. Maintenance measure effect factors, maintenance decision vectors, and maintenance measure threshold vectors are developed to update the degradation model. And to build a maintenance optimization model, both cost and loss related to maintenance decision problems and reliability obtained by performance margin have been taken into consideration. Finally, a numerical example is provided to illustrate the proposed optimization method. |
| first_indexed | 2024-03-11T09:10:10Z |
| format | Article |
| id | doaj.art-9c6e54a987314f359da7e03be4544d4d |
| institution | Directory Open Access Journal |
| issn | 2075-1680 |
| language | English |
| last_indexed | 2024-03-11T09:10:10Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Axioms |
| spelling | doaj.art-9c6e54a987314f359da7e03be4544d4d2023-11-16T19:06:13ZengMDPI AGAxioms2075-16802023-02-0112216810.3390/axioms12020168Condition-Based Maintenance Optimization Method Using Performance MarginShuyu Li0Meilin Wen1Tianpei Zu2Rui Kang3School of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaThe Key Laboratory on Reliability and Environmental Engineering Technology, Beihang University, Beijing 100191, ChinaSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaAs a maintenance strategy to reduce unexpected failures and enable safe operation, condition-based maintenance (CBM) has been widely used in recent years. The maintenance decision criteria of CBM in the literature mostly originate from statistical failure data or degradation states, few of which can directly and effectively reflect the current state and analyze condition monitoring data, maintenance measures, and reliability together at the same time. In this paper, we introduce the performance margin as a decision criterion of CBM. We propose a condition-based maintenance optimization method using performance margin. Considering a CBM optimization problem for a degrading and periodically inspected component, a newly developed performance margin degradation model is established when three different maintenance measures become involved. Maintenance measure effect factors, maintenance decision vectors, and maintenance measure threshold vectors are developed to update the degradation model. And to build a maintenance optimization model, both cost and loss related to maintenance decision problems and reliability obtained by performance margin have been taken into consideration. Finally, a numerical example is provided to illustrate the proposed optimization method.https://www.mdpi.com/2075-1680/12/2/168maintenance optimizationperformance margincondition-based maintenancedegradation modelbelief reliability |
| spellingShingle | Shuyu Li Meilin Wen Tianpei Zu Rui Kang Condition-Based Maintenance Optimization Method Using Performance Margin Axioms maintenance optimization performance margin condition-based maintenance degradation model belief reliability |
| title | Condition-Based Maintenance Optimization Method Using Performance Margin |
| title_full | Condition-Based Maintenance Optimization Method Using Performance Margin |
| title_fullStr | Condition-Based Maintenance Optimization Method Using Performance Margin |
| title_full_unstemmed | Condition-Based Maintenance Optimization Method Using Performance Margin |
| title_short | Condition-Based Maintenance Optimization Method Using Performance Margin |
| title_sort | condition based maintenance optimization method using performance margin |
| topic | maintenance optimization performance margin condition-based maintenance degradation model belief reliability |
| url | https://www.mdpi.com/2075-1680/12/2/168 |
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