Citation: Tang, Z.; Wang, M.;
Zhao, M.; Sun, J. Modification and
Noise Reduction Design of Gear
Transmission System of EMU Based
on Generalized Regression Neural
Network. Machines 2022, 10, 157.
https://doi.org/10.3390/
machines10020157
Academic Editors: Wenjun
(Chris) Zhang, Kelvin K. L. Wong,
Dhanjoo N. Ghista and Andrew W.
H. Ip
Received: 7 January 2022
Accepted: 16 February 2022
Published: 18 February 2022
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Article
Modification and Noise Reduction Design of Gear
Transmission System of EMU Based on Generalized Regression
Neural Network
Zhaoping Tang
1
, Manyu Wang
1
, Min Zhao
2
and Jianping Sun
1,
*
1
School of Information Engineering, East China Jiaotong University, Nanchang 330013, China;
tzp@ecjtu.edu.cn (Z.T.); wangmanyu2022@163.com (M.W.)
2
CRRC Qishuyan Institute Company Ltd., Changzhou 213025, China; ts1092051236@163.com
* Correspondence: 1654@ecjtu.edu.cn; Tel.: +86-1333-0090-862
Abstract:
In view of traction gear vibration and noise affecting the performance of the transmission
system and the comfort of passengers when the electric multiple units (EMU) is running at high
speed, taking the traction gear transmission system of an EMU as the research object by using Romax
software to construct the parametric modification model of the gear transmission system based on
gear modification theory. Combined with multibody dynamics, the vibration response characteristics
of the transmission system are simulated and analyzed. A radiated noise prediction model is
established using the acoustic boundary element method, based on the generalized regression neural
network (GRNN). To further explore the influence of gear modification methods and parameters
on vibration and noise characteristics and minimize gear transmission’s radiation noise. A particle
swarm optimization (PSO) algorithm is designed to solve the optimal modification parameters. The
simulation results reveal that after the optimization and modification, the gear transmission error is
significantly reduced, the contact status is considerably improved, and the root mean square value of
the acoustic power level is reduced by 13.10 dB, which is a reduction of 14%. It shows that the design
can effectively reduce the radiation noise of EMU gear trans-mission system.
Keywords:
gear transmission system; GRNN; PSO algorithm; modification noise reduction; opti-
mal design
1. Introduction
In the traction gear transmission of high-speed EMUs, the gears undergo elastic de-
formation due to the contact stress, which causes the gear base circle pitch to change,
causing the gears to interfere at the critical point of meshing and meshing. At the same
time, due to factors such as gear matching errors, the gears cause dynamic loads or shock
during transmission. The impact of biting in and out will cause vibration and noise in
the gear meshing process, which affects the comfort of passengers and endangers the safe
driving of the train. Therefore, it is necessary to study further the stability of traction
gear transmission and vibration and noise reduction technology. Gear modification is a
universal step-up transmission performance, reduces vibration and noise, and improves
passenger comfort. It is an efficient path to optimize gear modification using the simulation
method of finite element analysis, constructing the optimization model of gear modification
parameters, and settling by the optimization algorithm. Gao et al. optimized the design of a
specific marine gear shift and improved the hydraulic oil supply system. The experimental
results indicate that the gear modification and improved hydraulic oil supply system can
effectively improve the vibration performance of the gearbox [
1
]. Zhang et al. chose a
sensible modification plan to modify the small sun gear of an electric vehicle gearbox.
Comparing the simulation results indicates that proper modification can reduce the gear
transmission vibration and noise [
2
]. Liu et al. made a micro-modification of the gear,
Machines 2022, 10, 157. https://doi.org/10.3390/machines10020157 https://www.mdpi.com/journal/machines
