Fault diagnosis in rotating machines based on transfer learning: literature review
With the emergence of machine learning methods, data-driven fault diagnosis has gained
significant attention in recent years. However, traditional data-driven diagnosis approaches …
significant attention in recent years. However, traditional data-driven diagnosis approaches …
Deep residual learning-based fault diagnosis method for rotating machinery
Effective fault diagnosis of rotating machinery has always been an important issue in real
industries. In the recent years, data-driven fault diagnosis methods such as neural networks …
industries. In the recent years, data-driven fault diagnosis methods such as neural networks …
Compound fault diagnosis for rotating machinery: State-of-the-art, challenges, and opportunities
Compound fault, as a primary failure leading to unexpected downtime of rotating machinery,
dramatically increases the difficulty in fault diagnosis. To deal with the difficulty encountered …
dramatically increases the difficulty in fault diagnosis. To deal with the difficulty encountered …
A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Z Zhu, Y Lei, G Qi, Y Chai, N Mazur, Y An, X Huang - Measurement, 2023 - Elsevier
With the rapid development of industry, fault diagnosis plays a more and more important role
in maintaining the health of equipment and ensuring the safe operation of equipment. Due to …
in maintaining the health of equipment and ensuring the safe operation of equipment. Due to …
A review of early fault diagnosis approaches and their applications in rotating machinery
Y Wei, Y Li, M Xu, W Huang - Entropy, 2019 - mdpi.com
Rotating machinery is widely applied in various types of industrial applications. As a
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …
A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network
Y Yang, H Zheng, Y Li, M Xu, Y Chen - ISA transactions, 2019 - Elsevier
Fault diagnosis of rotating machinery is crucial to improve safety, enhance reliability and
reduce maintenance cost. The manual feature extraction and selection of traditional fault …
reduce maintenance cost. The manual feature extraction and selection of traditional fault …
Role of artificial intelligence in rotor fault diagnosis: A comprehensive review
Artificial intelligence (AI)-based rotor fault diagnosis (RFD) poses a variety of challenges to
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
Deep learning-based intelligent fault diagnosis methods toward rotating machinery
S Tang, S Yuan, Y Zhu - Ieee Access, 2019 - ieeexplore.ieee.org
Fault diagnosis of rotating machinery plays a significant role in the industrial production and
engineering field. Owing to the drawbacks of traditional fault diagnosis methods, such as …
engineering field. Owing to the drawbacks of traditional fault diagnosis methods, such as …
Artificial intelligence of things based approach for anomaly detection in rotating machines
In the present era of Industry 4.0, Artificial Intelligence (AI) and Internet of Things (IoT) are
revitalizing the predictive maintenance systems for industrial rotating machines through real …
revitalizing the predictive maintenance systems for industrial rotating machines through real …
Deep learning aided data-driven fault diagnosis of rotatory machine: A comprehensive review
This paper presents a comprehensive review of the developments made in rotating bearing
fault diagnosis, a crucial component of a rotatory machine, during the past decade. A data …
fault diagnosis, a crucial component of a rotatory machine, during the past decade. A data …