A novel multi-channel CNN-LSTM and transformer-based network for diesel engine misfire diagnosis under different noise conditions  

作　　者：LI Ou LEI JunBo QIN ChengJin ZHANG ZhiNan TAO JianFeng LIU ChengLiang 

机构地区：[1]State Key Laboratory of Mechanical System and Vibration,School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

出　　处：《Science China(Technological Sciences)》2024年第9期2965-2967,共3页中国科学（技术科学英文版）

基　　金：supported by the National Key R&D Program of China(Grant No.2023YFB3408502);Shanghai Municipal Science and Technology Major Project(Grant No.2021SHZDZX0102)。

摘　　要：Misfire fault, as a major fault of diesel engines, usually occurs because of low fuel quality, insufficient compression, ignition system failure, etc.Diesel engines may experience issues such as reduced power, increased fuel consumption, and increased noise when misfire happens. Therefore, timely detection and diagnosis of diesel engine misfire faults are of great significance in the industry [1].

关 键 词：Diesel DIAGNOSIS NETWORK 

分 类 号：TK428[动力工程及工程热物理—动力机械及工程]