Applications of machine learning to machine fault diagnosis: A review and roadmap
Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …
machine fault diagnosis. This is a promising way to release the contribution from human …
Development of intelligent fault-tolerant control systems with machine learning, deep learning, and transfer learning algorithms: a review
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 …
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …
Damage detection techniques for wind turbine blades: A review
Blades play a vital role in wind turbine system performances. However, they are susceptible
to damage arising from complex and irregular loading or even cause catastrophic collapse …
to damage arising from complex and irregular loading or even cause catastrophic collapse …
Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: A data-driven approach
Recently, prognostic and health management (PHM) has become a prominent field in
modern industry. The rotate vector (RV) reducer is one of the widely used mechanical …
modern industry. The rotate vector (RV) reducer is one of the widely used mechanical …
A comprehensive study on Structural Health Monitoring (SHM) of wind turbine blades by instrumenting tower using machine learning methods
In this article, a feasibility study has been carried out in order to detect structural faults in the
blade by analyzing the tower vibration. A 5-MW onshore wind turbine was modeled using …
blade by analyzing the tower vibration. A 5-MW onshore wind turbine was modeled using …
Research on diesel engine fault diagnosis method based on stacked sparse autoencoder and support vector machine
H Bai, X Zhan, H Yan, L Wen, Y Yan, X Jia - Electronics, 2022 - mdpi.com
Due to the relative insufficiencies of conventional time-domain waveform and spectrum
analysis in fault diagnosis research, a diesel engine fault diagnosis method based on the …
analysis in fault diagnosis research, a diesel engine fault diagnosis method based on the …
Remaining useful life (RUL) prediction of internal combustion engine timing belt based on vibration signals and artificial neural network
Timing belt rupture, which can develop quickly and cause severe harm to various engine
components, usually occurs unexpectedly and without prior warning signs. Due to the rapid …
components, usually occurs unexpectedly and without prior warning signs. Due to the rapid …
Health monitoring of in-cylinder sensors and fuel injectors using an external accelerometer
W Jeon, A Georgiou, Z Sun… - Structural Health …, 2025 - journals.sagepub.com
This paper focuses on the development of a methodology to monitor the health of an engine
by detecting any failures in the fuel injectors or in-cylinder pressure sensors using an …
by detecting any failures in the fuel injectors or in-cylinder pressure sensors using an …
Optimal sensor placement to detect ruptures in pipeline systems subject to uncertainty using an Adam-mutated genetic algorithm
C Kim, H Oh, B Chang Jung… - Structural health …, 2022 - journals.sagepub.com
Pipelines in critical engineered facilities, such as petrochemical and power plants, conduct
important roles of fire extinguishing, cooling, and related essential tasks. Therefore, failure of …
important roles of fire extinguishing, cooling, and related essential tasks. Therefore, failure of …
Performance of vibration and current signals in the fault diagnosis of induction motors using deep learning and machine learning techniques
Induction motors (IMs) play a pivotal role in various industrial applications, powering critical
systems such as pumps, compressors, fans, blowers, and refrigeration and air conditioning …
systems such as pumps, compressors, fans, blowers, and refrigeration and air conditioning …