基于改进EEMD-MB1DCNN的船用柴油机缸套-活塞环故障诊断  

Fault Diagnosis for Marine Diesel Engine Cylinder Liner-Piston Rings Based on Improved EEMD-MB1DCNN

作　　者：王永坚[1] 范金宇[1] 蔡杭溪 赵凯 吴怡婷 WANG Yong-jian;FAN Jin-yu;CAI Hang-xi;ZHAO Kai;WU Yi-ting(Marine Engineering Institute,Jimei University,Xiamen 361021,China)

机构地区：[1]集美大学轮机工程学院,福建厦门361021

出　　处：《船海工程》2024年第1期30-35,共6页Ship & Ocean Engineering

基　　金：福建省自然科学基金(2020J01687,2021J01849);厦门市海洋发展局科技项目(21CZB014HJ08)。

摘　　要：针对船用中高速柴油机缸套-活塞环振动信号非线性非平稳性以及同类型不同损伤程度故障发生时振动信号时频域特征相似、故障难以识别等问题,利用振动信号辨识故障,提出一种基于改进集成经验模态分解方法和多模块一维卷积神经网络端到端缸套-活塞环故障诊断方法,通过设计固有模态分量IMF信息质量筛选准则对EEMD分解出的IMFs进行重新排序,获得包含更多凸显故障特征成分的重构信号,输入到上述神经网络模型,通过振动信号分析并与现有方法比较,评估所设计IMF信息质量筛选准则与所搭建模型的性能,试验结果显示该方法能准确、有效地识别缸套-活塞环故障类型。在判断该易损件同类型不同磨损程度故障诊断中有较高的准确率,能对故障状况进行有效的特征提取与故障分类。Aiming at the problems of non-linear and non-stationary vibration signals of marine medium-high speed diesel engine cylinder liner-piston rings,the similar time and frequency domain characteristics of vibration signals,difficulty in fault identification for the same type of faults with different damage degrees,the vibration signals was used to identify the faults,and a new end-to-end cylinder liner-piston rings fault diagnosis method was set forth based on ensemble empirical mode decomposition(EEMD)and multi-block 1-D convolutional neural network(MB1DCNN).Through designing IMF information quality screening criteria,the IMFs through EEMD decomposed were reordered,to obtaine the reconstructed signals containing more salient fault feature components,which were input into the MB1DCNN network model.The performance of the designed IMF information quality screening criteria and the model were evaluated by vibration signal’s analyzing and comparing with existing methods.Experimental results showed that this method can accurately and effectively identify the fault type of cylinder liner-piston rings.It has high accuracy in fault diagnosis of the same type of faults with different wear degrees for the wearing parts,fault feature extraction and classification can be carried out effectively.

关 键 词：船用柴油机 缸套与活塞环 EEMD 1DCNN 故障诊断 

分 类 号：U664.121[交通运输工程—船舶及航道工程]