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 …

Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review

Z Zhao, J Wu, T Li, C Sun, R Yan, X Chen - Chinese Journal of Mechanical …, 2021 - Springer
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …

Multi-disease prediction based on deep learning: a survey

S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …

A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis

L Wan, Y Li, K Chen, K Gong, C Li - Measurement, 2022 - Elsevier
The traditional rolling bearing fault diagnosis methods are difficult to achieve effective cross-
domain fault diagnosis. Therefore, a novel deep convolution multi-adversarial domain …

Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization

S Tang, Y Zhu, S Yuan - ISA transactions, 2022 - Elsevier
Hydraulic axial piston pump is broadly-used in aerospace, ocean engineering and
construction machinery since it is the vital component of fluid power systems. In the light of …

An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump

S Tang, Y Zhu, S Yuan - Advanced Engineering Informatics, 2021 - Elsevier
Hydraulic piston pump is a vital component of hydraulic transmission system and plays a
critical role in some modern industrials. On account of the deficiencies of traditional fault …

A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images

S Tang, Y Zhu, S Yuan - Advanced Engineering Informatics, 2022 - Elsevier
As an essential part of hydraulic transmission systems, hydraulic piston pumps have a
significant role in many state-of-the-art industries. Thus, it is important to implement accurate …

An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal

S Tang, Y Zhu, S Yuan - Engineering Failure Analysis, 2022 - Elsevier
Hydraulic pump is a critical component of a hydraulic transmission system. Its normal and
stable operation will directly affect the reliability of the whole system. Owing to the complexity …

Data preprocessing techniques in convolutional neural network based on fault diagnosis towards rotating machinery

S Tang, S Yuan, Y Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Rotating machinery plays a critical role in many significant fields. However, the
unpredictable machinery faults may lead to the severe damage and losses. Hence, it is of …

Adaptive decision-level fusion strategy for the fault diagnosis of axial piston pumps using multiple channels of vibration signals

Q Chao, HH Gao, JF Tao, YH Wang, J Zhou… - Science China …, 2022 - Springer
An axial piston pump is a key component that plays the role of the “heart” in hydraulic
systems. The pump failure will lead to an unexpected breakdown of the entire hydraulic …