The invention discloses an AUV propeller multi-source fusion fault diagnosis method and system based on deep learning. The method comprises the steps of collecting one-dimensional time sequence fault data of various fault types of an AUV propeller; performing data preprocessing operation on the collected one-dimensional time sequence fault data of various fault types to obtain multiple pieces of multi-source sample data; dividing the pre-processed multi-source sample data into a training set, a verification set and a test set; establishing a convolutional neural network fault diagnosis model, inputting the multi-source sample data of the training set into the convolutional neural network fault diagnosis model for forward transmission and back propagation calculation, and training parameters of the convolutional neural network fault diagnosis model; and verifying and testing the model. According to the method, the original fault data can be automatically subjected to feature extraction and diagnosis without any manual feature extraction operation, so that people can more conveniently and quickly diagnose the fault of the AUV propeller.
本发明公开了一种基于深度学习的AUV推进器多信源融合故障诊断方法及系统,方法包括:采集AUV推进器各种故障类型的一维时间序列故障数据;将采集到的各种故障类型的一维时间序列故障数据进行数据预处理操作,得到多个多信源样本数据;将预处理后得到的多信源样本数据划分为训练集、验证集、测试集;建立卷积神经网络故障诊断模型,将训练集的多信源样本数据输入卷积神经网络故障诊断模型中进行前向传递和反向传播计算,训练卷积神经网络故障诊断模型参数;模型的验证与测试。本发明方法可自动对原始故障数据进行提取特征和诊断,无需任何手工特征提取操作,使人们对AUV推进器的故障诊断更加方便快捷。
AUV propeller multi-source fusion fault diagnosis method and system based on deep learning
基于深度学习的AUV推进器多信源融合故障诊断方法及系统
2022-05-27
Patent
Elektronische Ressource
Chinesisch
IPC: | G01M TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES , Prüfen der statischen oder dynamischen Massenverteilung rotierender Teile von Maschinen oder Konstruktionen / B63C LAUNCHING, HAULING-OUT, OR DRY-DOCKING OF VESSELS , Zuwasserlassen, Trockenstellen, Docken oder Bergen von Schiffen / G01R Messen elektrischer Größen , MEASURING ELECTRIC VARIABLES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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