A comprehensive survey on applications of AI technologies to failure analysis of industrial systems

S Bi, C Wang, B Wu, S Hu, W Huang, W Ni… - Engineering Failure …, 2023 - Elsevier
Component reliability plays a pivotal role in industrial systems, which are evolving with
larger complexity and higher dimensionality of data. It is insufficient to ensure reliability and …

An improved generic hybrid prognostic method for RUL prediction based on PF-LSTM learning

K Xue, J Yang, M Yang, D Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate estimation and prediction of the state-of-health (SOH) and remaining useful life
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …

Fuzzy decoupled-states multi-model identification of gas turbine operating variables through the use of their operating data

S Aissat, A Hafaifa, A Iratni, N Hadroug, XQ Chen - ISA transactions, 2023 - Elsevier
Practically the rotating machines degradation, such as gas turbines, is due to the quality of
construction and online operation of their dynamic state models, of different physical …

Development of an innovative high-performance poly-generation plant for efficient multi-level heat recovery of a biogas-powered micro gas turbine: Environmental and …

L Xu, BS Chauhan, B Salah, PH Thinh - Process Safety and Environmental …, 2023 - Elsevier
Nowadays, the biogas-powered gas turbine cycles in poly-generation systems play a crucial
role due to increasing fuel prices, declining renewable energy sources, and environmental …

Establishing a real-time multi-step ahead forecasting model of unbalance fault in a rotor-bearing system

B Bera, CL Lin, SC Huang, JW Liang, PT Lin - Electronics, 2023 - mdpi.com
Recently, prognostics and health management (PHM) has garnered a lot of attention in the
industrial sector for its cost-effective maintenance and safe operation of the system. In this …

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 …

Implementation of vibrations faults monitoring and detection on gas turbine system based on the support vector machine approach

N Hadroug, A Iratni, A Hafaifa, B Alili, I Colak - Journal of Vibration …, 2024 - Springer
Purpose Gas turbines play a critical role in the gas and hydrocarbon industry, but they are
prone to failures and malfunctions that can impact their performance and safety. Therefore, it …

[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 …

Self-adaptive early warning of undesirable gas-liquid flow pattern in offshore oil and gas pipeline-riser system

J Fu, S Zou, J Sun, Q Xu, Q Wu, L Guo - Process Safety and Environmental …, 2024 - Elsevier
It is an important function of submarine pipeline flow assurance system to monitor
undesirable gas-liquid flow patterns in pipeline in real time, and release early warning …