Development of intelligent fault-tolerant control systems with machine leaprning, deep learning, and transfer learning algorithms: A review

AA Amin, MS Iqbal, MH Shahbaz - Expert Systems with Applications, 2023 - Elsevier
Abstract Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …

Fault detection and fault-tolerant control of autonomous steering system for intelligent vehicles combining Bi-LSTM and SPRT

S He, X Xu, J Xie, F Wang, Z Liu, F Zhao - Measurement, 2023 - Elsevier
To solve the issues of low performance and low reliability of autonomous steering systems in
intelligent vehicles, this paper proposes a novel fault detection and fault tolerance control …

Unsupervised structure subdomain adaptation based the Contrastive Cluster Center for bearing fault diagnosis

P Chen, R Zhao, T He, K Wei, J Yuan - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract Recently, Unsupervised Domain Adaptation (UDA) as one of the transfer learning
can handle the different data distributions and has been utilized in mechanical fault …

Design of hybrid fault-tolerant control system for air-fuel ratio control of internal combustion engines using artificial neural network and sliding mode control against …

MH Shahbaz, AA Amin - Advances in Mechanical …, 2023 - journals.sagepub.com
This paper proposes a novel hybrid fault-tolerant control system (HFTCS) with dedicated
non-linear controllers: artificial neural network (ANN) and sliding mode control (SMC) for …

Performance-guaranteed adaptive switching fault-tolerant control of steer-by-wire system considering actuator fault and load disturbance

K Xu, X Zhou, W Zhao, C Wang, Z Luan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In order to meet the requirement of a higher safety level for the steer-by-wire system, this
article proposes a dual-motor steer-by-wire (DMSBW) system to realize its safety …

Design of Advanced Fault-Tolerant Control System for Three-Phase Matrix Converter Using Artificial Neural Networks

F Ahmad, T Alsuwian, AA Amin, M Adnan… - IEEE Access, 2023 - ieeexplore.ieee.org
The Matrix converters (MCs) are widely used in a large number of applications such as
Aircraft, Submarines, and AC drives. In these applications, because of the many chances of …

Transient Performance of Gas-Engine-Based Power System on Ships: An Overview of Modeling, Optimization, and Applications

S Wu, T Li, R Chen, S Huang, F Xu, B Wang - Journal of Marine Science …, 2023 - mdpi.com
Liquefied natural gas (LNG) is widely regarded as the midterm solution toward zero-carbon
transportation at sea. However, further applications of gas engines are challenging due to …

Robust anti-disturbance fault-tolerant control of ship-board platforms with multiplicative actuator faults and unknown disturbances

Q Gong, Z Liu, X Hu, Y Teng, K Li, G Han - Ocean Engineering, 2023 - Elsevier
Ship-board platform installed on ships as a heave compensation device can compensate for
roll, pitch and heave motions of ships, ensuring the safe operations of special tasks such as …

A new deep learning model combining CNN for engine fault diagnosis

E Sonmez, S Kacar, S Uzun - Journal of the Brazilian Society of …, 2023 - Springer
Real-time condition monitoring of electric motors and early diagnosis is of great importance
for ensuring safe and reliable operation, preventing major accidents, and reducing …

Research on sensor fault tolerance technology in nuclear power plant control system

J Zhang, H Xia, Y Zhu, Y Fu - Annals of Nuclear Energy, 2024 - Elsevier
The Instrument & control system is the center of the Nuclear Power Plant (NPP), which is
equipped with a large number of sensors to ensure the safe and stable running of the NPP …