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 …
For intelligent fault diagnosis of a gearbox using deep convolutional neural networks (DCNNs), we performed a gearbox vibration experiment. To understand the effects of …
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 …
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 …
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 …
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 …
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 …
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 …
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 …