Sustainability and reliability-based hydrogen technologies prioritization for decarbonization in the oil refining industry: A decision support system under single-valued …

A Fetanat, M Tayebi - International Journal of Hydrogen Energy, 2024 - Elsevier
The purpose of the present work is to design an extended decision support system (DSS),
namely the CRITIC (combining criteria interaction through inter-criteria correlation) & …

Robust intelligent fault diagnosis strategy using Kalman observers and neuro-fuzzy systems for a wind turbine benchmark

Z Zemali, L Cherroun, N Hadroug, A Hafaifa, A Iratni… - Renewable Energy, 2023 - Elsevier
A wind turbine (WT) is an electromechanical system that often operates under a wide range
of production conditions. These electrical systems are nowadays expanding rapidly, and …

Gas turbine availability improvement based on long short-term memory networks using deep learning of their failures data analysis

AZ Djeddi, A Hafaifa, N Hadroug, A Iratni - Process Safety and …, 2022 - Elsevier
Practically, a maintenance operation is performed on industrial equipment after scheduled
planning that depends on the average useful life of this equipment (Mean Time Between …

Evaluation of Reliability Indices for Gas Turbines Based on the Johnson SB Distribution: Towards Practical Development

E Mohamed, D Ahmed Zohair… - Emirates Journal …, 2023 - scholarworks.uaeu.ac.ae
Recent advancements in computer engineering have provided effective solutions for
processing and analyzing complex systems and big data. Consequently, the adjustment and …

Prediction of the capacitance of the corn drying process parameter using adaptive-neuro-fuzzy intelligent technique with experimental validation

E Çelik, MA Koç, N Parlak, Y Çay - Drying Technology, 2024 - Taylor & Francis
In this study, innovative, intelligent software based on Adaptive Neuro-Fuzzy Inference
System (ANFIS) has been developed to effectively estimate the corn drying process …

[PDF][PDF] Gas turbine vibration detection and identification based on dynamic artificial neural networks

MB Rahmoune, A Íratni, A Hafaifa… - Electrotehnica …, 2023 - researchgate.net
Vibration control in rotating machinery is a major challenge in oil and gas facilities that use
these machines. In gas turbines, the instability phenomenon is generated by the rotor, and …

Advancing predictive maintenance for gas turbines: An intelligent monitoring approach with ANFIS, LSTM, and reliability analysis

L Brahimi, N Hadroug, A Iratni, A Hafaifa… - Computers & Industrial …, 2024 - Elsevier
Gas turbine malfunctions can significantly impact production and safety. This study proposes
an intelligent monitoring system for MS5002C gas turbines using Adaptive Neuro-Fuzzy …

Johnson's SU distribution using Gray Wolf Optimizer algorithm for fitting gas turbine reliability data

N Charrak, AZ Djeddi, A Hafaifa, M Elbar… - Life Cycle Reliability and …, 2024 - Springer
Controlling failures and degradation of gas turbines is crucial for optimizing efficiency,
productivity, and maintaining safe operations in the oil and gas industry. Reliability indices …

Reliability analysis of landing architecture of aircraft using Fermatean fuzzy arithmetic operation

S Golui, BS Mahapatra, GS Mahapatra - Life Cycle Reliability and Safety …, 2024 - Springer
The takeoff and landing of an airplane are highly crucial to its safety. Therefore, it is essential
to evaluate the precise reliability of the landing system of any aircraft to maintain its safety …

Reliability and Availability Study of a Gas Turbine based on usual Approaches with a Failure Mode Analysis.

AZ Djeddi, A Hafaifa, A Iratni - Electrotehnica, Electronica …, 2021 - search.ebscohost.com
The rotating machines like gas turbine types are highly valuable in the gas transportation
industry. They are often strategic and have a major impact on the proper operation of gas …