[HTML][HTML] Maintenance optimization in industry 4.0
This work reviews maintenance optimization from different and complementary points of
view. Specifically, we systematically analyze the knowledge, information and data that can …
view. Specifically, we systematically analyze the knowledge, information and data that can …
Application of artificial intelligence hybrid models in safety assessment of submarine pipelines: Principles and methods
S Zhang, A Zhang, P Chen, H Li, X Zeng, S Chen… - Ocean …, 2024 - Elsevier
Submarine pipeline is a critical component for exploiting marine oil and gas resources. The
aging of pipelines is becoming increasingly serious, and any damage or rupture can lead to …
aging of pipelines is becoming increasingly serious, and any damage or rupture can lead to …
[HTML][HTML] Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets
A Saleh, M Chiachío, JF Salas, A Kolios - Reliability Engineering & System …, 2023 - Elsevier
With the emerging monitoring technologies, condition-based maintenance is nowadays a
reality for the wind energy industry. This is important to avoid unnecessary maintenance …
reality for the wind energy industry. This is important to avoid unnecessary maintenance …
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
In the context of modern engineering, environmental, and societal concerns, there is an
increasing demand for methods able to identify rational management strategies for civil …
increasing demand for methods able to identify rational management strategies for civil …
Incentive-based demand response strategies for natural gas considering carbon emissions and load volatility
H Zeng, B Shao, H Dai, N Tian, W Zhao - Applied Energy, 2023 - Elsevier
With the continuous development of the global economy, the demand for natural gas is
increasing year by year. At the same time, the widespread adoption of emission reduction …
increasing year by year. At the same time, the widespread adoption of emission reduction …
Efficient prediction method of triple failure pressure for corroded pipelines under complex loads based on a backpropagation neural network
T Zhang, J Shuai, Y Shuai, L Hua, K Xu, D Xie… - Reliability Engineering & …, 2023 - Elsevier
With the complexity of geological conditions and corrosive environments, the evaluation of
failure pressure for defective pipelines under external loads has gradually become an …
failure pressure for defective pipelines under external loads has gradually become an …
Fuzzy-PID-based atmosphere packaging gas distribution system for fresh food
H Zhang, X Zuo, B Sun, B Wei, J Fu, X Xiao - Applied Sciences, 2023 - mdpi.com
The regulation process of gas distribution systems for atmosphere packaging has the
characteristics of being nonlinear time varying and having hysteric delay. When the …
characteristics of being nonlinear time varying and having hysteric delay. When the …
Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network
J Zhou, H Lin, S Li, H Jin, B Zhao, S Liu - Reliability Engineering & System …, 2023 - Elsevier
Leakage is a potential accident affecting gas pipeline reliability. To diagnose leakage of the
main gas extraction pipeline in coal mines, a pipeline leakage diagnosis method based on …
main gas extraction pipeline in coal mines, a pipeline leakage diagnosis method based on …
Integration of functional resonance analysis method and reinforcement learning for updating and optimizing emergency procedures in variable environments
X Liu, H Meng, X An, J Xing - Reliability Engineering & System Safety, 2024 - Elsevier
Blowout accidents are prone to generate personal casualties, property losses, and even
environmental disasters. To alleviate the consequences of accidents, it is essential to …
environmental disasters. To alleviate the consequences of accidents, it is essential to …
A methodology to evaluate gas supply reliability of natural gas pipeline network considering the effects of natural gas resources
X Shan, W Yu, J Gong, W Huang, K Wen… - Reliability Engineering & …, 2023 - Elsevier
In this study, a methodology to evaluate gas supply reliability of the natural gas pipeline
network is proposed, and the uncertainty of the gas supply capacity of the natural gas …
network is proposed, and the uncertainty of the gas supply capacity of the natural gas …