Fault tree analysis improvements: A bibliometric analysis and literature review
Fault tree analysis (FTA) is one of the most popular failure analysis techniques that reveal
the potential pathways leading to systems or components failure. It has been widely …
the potential pathways leading to systems or components failure. It has been widely …
A deep feature learning method for remaining useful life prediction of drilling pumps
J Guo, JL Wan, Y Yang, L Dai, A Tang, B Huang… - Energy, 2023 - Elsevier
Abstract Remaining Useful Life (RUL) prediction of drilling pumps, pivotal components in
fossil energy production, is essential for efficient maintenance and safe operation of such …
fossil energy production, is essential for efficient maintenance and safe operation of such …
[HTML][HTML] Assessment of failure rates and reliability of floating offshore wind turbines
A model is proposed to assess the failure rates of components of floating offshore wind
turbines based on the knowledge of failure data of corresponding structures of onshore wind …
turbines based on the knowledge of failure data of corresponding structures of onshore wind …
[HTML][HTML] A real-time inspection and opportunistic maintenance strategies for floating offshore wind turbines
This paper proposes an FMEA-BN model to determine the inspection and opportunistic
maintenance strategies of floating offshore wind turbines. A map** algorithm is proposed …
maintenance strategies of floating offshore wind turbines. A map** algorithm is proposed …
Optimizing prior distribution parameters for probabilistic prediction of remaining useful life using deep learning
Y Keshun, Q Guangqi, G Yingkui - Reliability Engineering & System Safety, 2024 - Elsevier
In this study, a deep learning-based probabilistic remaining useful life (RUL) prediction
model is proposed to improve the strong prior limitations of traditional probabilistic RUL …
model is proposed to improve the strong prior limitations of traditional probabilistic RUL …
A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process
L Dai, J Guo, JL Wan, J Wang, X Zan - Reliability Engineering & System …, 2022 - Elsevier
Reliability evaluation is highly significant for the safe and reliable service of rolling bearings.
It is to accurately reflect degradation states of rolling bearings. However, traditional methods …
It is to accurately reflect degradation states of rolling bearings. However, traditional methods …
[HTML][HTML] An ELICIT information-based ORESTE method for failure mode and effect analysis considering risk correlation with GRA-DEMATEL
Failure mode and effect analysis (FMEA) is one of the most powerful reliability analysis
techniques for identifying and preventing potential risks across various fields. Current FMEA …
techniques for identifying and preventing potential risks across various fields. Current FMEA …
Risk analysis on corrosion of submarine oil and gas pipelines based on hybrid Bayesian network
W Wang, X He, Y Li, J Shuai - Ocean Engineering, 2022 - Elsevier
Submarine pipeline is currently the safest and most economical transportation of subsea oil
and gas. Corrosion is one of the main threats to submarine pipelines because of the …
and gas. Corrosion is one of the main threats to submarine pipelines because of the …
[HTML][HTML] Resilience assessment of a subsea pipeline using dynamic Bayesian network
Microbiologically influenced corrosion (MIC) is a serious concern and plays a significant role
in the marine and subsea industry's infrastructure failure. A probabilistic methodology is …
in the marine and subsea industry's infrastructure failure. A probabilistic methodology is …
[HTML][HTML] Failure analysis of floating offshore wind turbines with correlated failures
A novel failure mode and effect analysis schedule, namely correlated-Failure Mode and
Effect Analysis (FMEA), is proposed to identify critical failures of floating offshore wind …
Effect Analysis (FMEA), is proposed to identify critical failures of floating offshore wind …