A comprehensive review on convolutional neural network in machine fault diagnosis

J Jiao, M Zhao, J Lin, K Liang - Neurocomputing, 2020 - Elsevier
With the rapid development of manufacturing industry, machine fault diagnosis has become
increasingly significant to ensure safe equipment operation and production. Consequently …

A review on the application of blind deconvolution in machinery fault diagnosis

Y Miao, B Zhang, J Lin, M Zhao, H Liu, Z Liu… - Mechanical Systems and …, 2022 - Elsevier
Fault diagnosis is of significance for ensuring the safe and reliable operation of machinery
equipment. Due to the heavy noise and interference, it is difficult to detect the fault directly …

Practical framework of Gini index in the application of machinery fault feature extraction

Y Miao, J Wang, B Zhang, H Li - Mechanical Systems and Signal …, 2022 - Elsevier
Gini index (GI) is an outstanding sparsity index that has high robustness for the interference
of the random impulse noise. Yet, as a new index, the definition of GI in different domains is …

Time-frequency ridge estimation: An effective tool for gear and bearing fault diagnosis at time-varying speeds

Y Li, X Zhang, Z Chen, Y Yang, C Geng… - Mechanical Systems and …, 2023 - Elsevier
For a rotary machine vibration signal collected under variable speed conditions, its time–
frequency representation (TFR) contains abundant oscillatory components with time-varying …

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

O AlShorman, F Alkahatni, M Masadeh… - Advances in …, 2021 - journals.sagepub.com
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

Tacholess speed estimation in order tracking: A review with application to rotating machine fault diagnosis

S Lu, R Yan, Y Liu, Q Wang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Order tracking (OT), which is realized by signal sampling in equal-angle increment
according to the measured rotating speed, is a powerful technique for rotating machine fault …

[HTML][HTML] Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging

LI Yongbo, DU Xiaoqiang, WAN Fangyi… - Chinese Journal of …, 2020 - Elsevier
Rotating machinery is widely applied in industrial applications. Fault diagnosis of rotating
machinery is vital in manufacturing system, which can prevent catastrophic failure and …

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) …

A review on rolling bearing fault signal detection methods based on different sensors

G Wu, T Yan, G Yang, H Chai, C Cao - Sensors, 2022 - mdpi.com
As a precision mechanical component to reduce friction between components, the rolling
bearing is widely used in many fields because of its slight friction loss, strong bearing …

Deep coupled dense convolutional network with complementary data for intelligent fault diagnosis

J Jiao, M Zhao, J Lin, C Ding - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
In recent years, artificial intelligent techniques have been extensively explored in the field of
health monitoring and fault diagnosis due to their powerful capabilities. In this paper, we …