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 …
The role of machine learning in tribology: A systematic review
The machine learning (ML) approach, motivated by artificial intelligence (AI), is an inspiring
mathematical algorithm that accurately simulates many engineering processes. Machine …
mathematical algorithm that accurately simulates many engineering processes. Machine …
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults
In recent years, deep learning has become an emerging research orientation in the field of
intelligent monitoring and fault diagnosis for industry equipment. Generally, the success of …
intelligent monitoring and fault diagnosis for industry equipment. Generally, the success of …
Fault diagnosis of single-phase induction motor based on acoustic signals
A Glowacz - Mechanical Systems and Signal Processing, 2019 - Elsevier
The paper presents description of bearing, stator and rotor fault diagnostic methods of a
single-phase induction motor. The presented methods use acoustic signals. Five states of …
single-phase induction motor. The presented methods use acoustic signals. Five states of …
Artificial intelligence application in fault diagnostics of rotating industrial machines: A state-of-the-art review
The fault monitoring and diagnosis of industrial machineries are very significant in Industry
4.0 revolution but are often complicated and labour intensive. The application of artificial …
4.0 revolution but are often complicated and labour intensive. The application of artificial …
[HTML][HTML] Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
M Huang, Z Liu, Y Tao - Simulation Modelling Practice and Theory, 2020 - Elsevier
Using multi-source sensing data based on the Internet of Things (IoT) with artificial
intelligence and big data processing technology to achieve predictive maintenance of …
intelligence and big data processing technology to achieve predictive maintenance of …
Intelligent worm gearbox fault diagnosis under various working conditions using vibration, sound and thermal features
Worm gearboxes (WG) are frequently used in many areas of the industry. WG is different
from other gearbox types and due to their working principles they are under high risk of wear …
from other gearbox types and due to their working principles they are under high risk of wear …
[HTML][HTML] Intelligent fault diagnosis of helical gearboxes with compressive sensing based non-contact measurements
Helical gearboxes play a critical role in power transmission of industrial applications. They
are vulnerable to various faults due to long-term and heavy-duty operating conditions. To …
are vulnerable to various faults due to long-term and heavy-duty operating conditions. To …
Fracture mechanics and mechanical fault detection by artificial intelligence methods: A review
Artificial intelligence (AI) researchers created new techniques, developed and applied them
to solve engineering problems since two decades. Although lots of AI techniques and …
to solve engineering problems since two decades. Although lots of AI techniques and …
Multi-scale and multi-layer perceptron hybrid method for bearings fault diagnosis
S **e, Y Li, H Tan, R Liu, F Zhang - International Journal of Mechanical …, 2022 - Elsevier
The progressive growth in demand and requirements for bearing problem diagnostics in the
operating segment of trains has resulted from an increase in train speed and the …
operating segment of trains has resulted from an increase in train speed and the …