Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy

G Vashishtha, S Chauhan, S Kumar, R Kumar… - Knowledge-Based …, 2023 - Elsevier
The worm gearbox is a power transmission system that has various applications in
industries. Being vital element of machinery, it becomes necessary to develop a robust fault …

A novel real-time fault diagnosis method for planetary gearbox using transferable hidden layer

X Miao, S Li, Y Zhu, Z An - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Planetary gearbox with high speed and high precision is important for sophisticated power
equipment, and the effective sensor data are necessary for reliability and stability. However …

A deep convolutional neural networks model for intelligent fault diagnosis of a gearbox under different operational conditions

G Qiu, Y Gu, Q Cai - Measurement, 2019 - Elsevier
For intelligent fault diagnosis of a gearbox using deep convolutional neural networks
(DCNNs), we performed a gearbox vibration experiment. To understand the effects of …

Intelligent fault diagnosis of planetary gearbox based on adaptive normalized CNN under complex variable working conditions and data imbalance

C Wang, H Li, K Zhang, S Hu, B Sun - Measurement, 2021 - Elsevier
In real industrial application, the operating conditions of the planetary gearbox are always
variable speed and variable load according to production. Meanwhile, the scarcity of fault …

Gear pitting fault diagnosis using integrated CNN and GRU network with both vibration and acoustic emission signals

X Li, J Li, Y Qu, D He - Applied Sciences, 2019 - mdpi.com
This paper deals with gear pitting fault diagnosis problem and presents a method by
integrating convolutional neural network (CNN) and gated recurrent unit (GRU) networks …

A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes

J Jiao, M Zhao, J Lin, J Zhao - Knowledge-Based Systems, 2018 - Elsevier
Rotary encoder signal, as the built-in position information, possesses a wide variety of
advantages over vibration signal and has aroused great interest in the field of health …

Compound fault diagnosis of gearboxes via multi-label convolutional neural network and wavelet transform

P Liang, C Deng, J Wu, Z Yang, J Zhu, Z Zhang - Computers in Industry, 2019 - Elsevier
Gearboxes are the most widely used elements for transferring speed and power in many
industrial machines. High-precision gearbox fault diagnosis is quite significant for keeping …

A Parameter‐Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox

J Gai, J Shen, H Wang, Y Hu - Shock and Vibration, 2020 - Wiley Online Library
Aiming at the problems of poor self‐adaptive ability in traditional feature extraction methods
and weak generalization ability in single classifier under big data, an internal parameter …

Detection of gear fault severity based on parameter-optimized deep belief network using sparrow search algorithm

J Gai, K Zhong, X Du, K Yan, J Shen - Measurement, 2021 - Elsevier
In gear fault diagnosis, most current intelligent fault diagnosis methods show good
classification performance for fault pattern recognition. However, when detecting fault …

An intelligent gear fault diagnosis methodology using a complex wavelet enhanced convolutional neural network

W Sun, B Yao, N Zeng, B Chen, Y He, X Cao, W He - Materials, 2017 - mdpi.com
As a typical example of large and complex mechanical systems, rotating machinery is prone
to diversified sorts of mechanical faults. Among these faults, one of the prominent causes of …