{"title":"Real-Time Misfire Detection of Large Gas Engine Using Big Data Analytics","authors":"J. Z. Szabó, P. Bakucz","doi":"10.1109/SISY.2018.8524725","DOIUrl":null,"url":null,"abstract":"In this work application of fuzzy deep learning algorithm to classify vibration signals of a Deutz MWM 8 cylinder large gas engine is presented. The main contribution is to identify the misfire characteristics in realtime embedded microcontroller environment. The substance of the scheduled fuzzy system is a stratified deep neural network that obtains information from both fuzzy and neural representations. The misfire characteristics learnt from these two various views are convolved, forming the ultimate signal to be classified.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"49 1","pages":"000215-000220"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2018.8524725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this work application of fuzzy deep learning algorithm to classify vibration signals of a Deutz MWM 8 cylinder large gas engine is presented. The main contribution is to identify the misfire characteristics in realtime embedded microcontroller environment. The substance of the scheduled fuzzy system is a stratified deep neural network that obtains information from both fuzzy and neural representations. The misfire characteristics learnt from these two various views are convolved, forming the ultimate signal to be classified.
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