{"title":"基于人工神经网络的发动机气缸故障诊断方法","authors":"L. Jianmin, Qiao Xinyong","doi":"10.1109/CSSE.2008.1409","DOIUrl":null,"url":null,"abstract":"Measured the instantaneous speed of diesel engine and analyzed the mechanism of fault diagnosis with speed signal. Processed the speed signal with method of spectrum analysis and complexity analysis and analyzed the change law of speed in condition of mis-cylinder. Calculated [K,C] complexity of speed signal and got the features of mis-cylinder fault. Set up a BP neural network to diagnose mis-cylinder fault of diesel engine.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"44 1","pages":"102-105"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Method for Diagnosing the Cylinder Fault of Engine Based on Artificial Neural Network\",\"authors\":\"L. Jianmin, Qiao Xinyong\",\"doi\":\"10.1109/CSSE.2008.1409\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Measured the instantaneous speed of diesel engine and analyzed the mechanism of fault diagnosis with speed signal. Processed the speed signal with method of spectrum analysis and complexity analysis and analyzed the change law of speed in condition of mis-cylinder. Calculated [K,C] complexity of speed signal and got the features of mis-cylinder fault. Set up a BP neural network to diagnose mis-cylinder fault of diesel engine.\",\"PeriodicalId\":6460,\"journal\":{\"name\":\"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"volume\":\"44 1\",\"pages\":\"102-105\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSSE.2008.1409\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSSE.2008.1409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Method for Diagnosing the Cylinder Fault of Engine Based on Artificial Neural Network
Measured the instantaneous speed of diesel engine and analyzed the mechanism of fault diagnosis with speed signal. Processed the speed signal with method of spectrum analysis and complexity analysis and analyzed the change law of speed in condition of mis-cylinder. Calculated [K,C] complexity of speed signal and got the features of mis-cylinder fault. Set up a BP neural network to diagnose mis-cylinder fault of diesel engine.
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