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 …
Data and knowledge mining with big data towards smart production
Driven by the innovative improvement of information and communication technologies
(ICTs) and their applications into manufacturing industry, the big data era in manufacturing is …
(ICTs) and their applications into manufacturing industry, the big data era in manufacturing is …
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 …
Quantitative diagnosis method of beam defects based on laser Doppler non-contact random vibration measurement
S Zhao, S Li, W Guo, C Zhang, B Cong - Measurement, 2020 - Elsevier
The beam structure is prone to defect damage during its use, and the rapid quantitative
diagnosis of the beam structure can detect the defects of the beam in real time and …
diagnosis of the beam structure can detect the defects of the beam in real time and …
A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
Monitoring the machining process is crucial for providing cost-effective, high-quality
production and preventing unwanted accidents. This study aims to predict critical machining …
production and preventing unwanted accidents. This study aims to predict critical machining …
[HTML][HTML] Utilization of Machine Learning and Explainable Artificial Intelligence (XAI) for Fault Prediction and Diagnosis in Wafer Transfer Robot
Faults in the wafer transfer robots (WTRs) used in semiconductor manufacturing processes
can significantly affect productivity. This study defines high-risk components such as bearing …
can significantly affect productivity. This study defines high-risk components such as bearing …
SECE-based piezoelectric energy sensor for the diagnostics of timing belt
YC Lo, TY Yeh, YC Shu - Active and Passive Smart Structures …, 2022 - spiedigitallibrary.org
The article presents a novel idea for the fault diagnostics of the timing belt based on
developing a piezoelectric energy sensor attached to the synchronized electric charge …
developing a piezoelectric energy sensor attached to the synchronized electric charge …
Tension monitoring of toothed belt drives using interval-based spectral features
Toothed belt drives are used in manifold automation applications. But only if the belt tension
is properly adjusted, optimal working conditions are ensured. A loss of efficiency or even …
is properly adjusted, optimal working conditions are ensured. A loss of efficiency or even …
Dynamic behaviour modelling of an internal combustion engine water pump transmission belt drive
G Sequenzia, M Calabretta… - … Journal of Vehicle …, 2021 - inderscienceonline.com
Belt drives are commonly used in various types of transmissions to link two or more rotating
shafts. In order to transmit the motion, an effective grip on the pulley has to be set by …
shafts. In order to transmit the motion, an effective grip on the pulley has to be set by …
Vibration analysis for predictive maintenance of optical fiber cable production line
M Khodayari - 2024 - aaltodoc.aalto.fi
The maintenance challenges posed by complicated machinery became evi-dent as the
downtime of the machines caused manufacturing halts. Vibration analysis is one of the …
downtime of the machines caused manufacturing halts. Vibration analysis is one of the …