Fault Diagnosis Method for Cockpit Canopy Control Systems Based on Data Simulation and GA-CNN
Author:
Affiliation:
1. School of Mechanical Engineering, Dalian University of Technology, Dalian, China, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3669721.3674530
Reference16 articles.
1. Liu Qin. Research on intelligent fault diagnosis method of hydraulic system of ship servo[D]. Beijing Jiaotong University, 2021.
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3. Fault detection of high-speed train axle bearings based on a hybridized physical and data-driven temperature model[J];Zechong Yang;Mechanical Systems and Signal Processing,2024
4. An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal[J];Shengnan Tang;Engineering Failure Analysis,2022
5. Yang Tongguan Yu Xiaoguang Li Guanchen An early fault diagnosis method based on the optimization of a variational modal decomposition and convolutional neural network for aeronautical hydraulic pipe clamps[J]. Measurement science & technology. 2020 31(5): 55007.
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