RESEARCH PAPER
Optimization of maintenance strategies for natural gas pipeline systems based on FFTA-BN
1
College of Quality and Standardization, China Jiliang University, China
2
School of Mechanical Engineering, Southeast University, China
Submission date: 2025-02-17
Final revision date: 2025-03-30
Acceptance date: 2025-05-03
Online publication date: 2025-05-22
Publication date: 2025-05-22
Corresponding author
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(4):204611
HIGHLIGHTS
- The combination of Tω and FFTA can overcomes fuzzy accumulation and subjectivity.
- The hybrid maintenance model is established to optimize pipeline’s cost.
- The proposed optimal model can better meet the actual needs of the project.
KEYWORDS
Bayesian networkNatural gas pipeline systemThe weakest t-normHybrid maintenanceSystem reliability assessmentFuzzy fault tree analysis
TOPICS
ABSTRACT
Pipelines are vital for transporting oil and natural gas, which are always facing many security challenges during the transportation process. Pipeline failures can lead to significant economic losses and injuries, therefore risk assessment and maintenance are crucial. To address the lack of precise data and inherent uncertainty in evaluating pipeline risk, this paper proposes a new approach for assessing pipeline system reliability. This method integrates the weakest t-norm algorithm, fuzzy fault tree analysis, and Bayesian networks to compute the reliability of natural gas pipeline systems, mitigating the issues of fuzzy accumulation and bias found in traditional fault trees. Furthermore, research is conducted on optimizing maintenance strategies under hybrid maintenance. The maintenance optimization model fully considers the specific requirements of pipeline reliability in different risk areas. The proposed method can provide corresponding optimal maintenance solutions for different risk areas, which can better meet the actual needs of engineering.
ACKNOWLEDGEMENTS
This work was supported by the National Natural Science Foundation of China (No.72471054; No.72001039; No. 52175257); ZhiShan Scholar Program of Southeast University (2242023R40037); the National Key R&D Programs (No. 2021YFC3340400); the Active Design Projects of Key R&D Plans of Zhejiang Province (No.2021C01053); the Science and Technology Plan Project of Zhejiang Provincial Government Market Supervision Administration (ZD2024005); Research start-up funds of China Jiliang University (01101- 241154).
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