Research on Fault Diagnosis of HMCVT Shift Hydraulic System Based on Optimized BPNN and CNN

Research on Fault Diagnosis of HMCVT Shift Hydraulic System Based on Optimized BPNN and CNN

There are some problems in the shifting process of hydraulic CVT, such as irregularity, low stability and high failure rate. In this paper, the BP neural network and convolutional neural network are used for fault diagnosis of the HMCVT hydraulic system. Firstly, through experiments, 120 groups of p...

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Bibliographic Details
Main Authors: Jiabo Wang, Zhixiong Lu, Guangming Wang, Ghulam Hussain, Shanhu Zhao, Haijun Zhang, Maohua Xiao
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Agriculture
Subjects:
HMCVT
fault diagnosis
BP algorithm
CNN
attribute reduction
Online Access:https://www.mdpi.com/2077-0472/13/2/461

Internet

https://www.mdpi.com/2077-0472/13/2/461

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