Study on intelligent analysis system for engine fault diagnosis

被引：0
|
作者：
Chen Guojin [1 ]
Zhu Miaofen [2 ]
Wang Yaka [3 ]
Hu Yihuai [4 ]
Liu Bin [5 ]
机构：
[1] Hangzhou Dianzi Univ, Dept Engn Mech, Hangzhou, Zhejiang, Peoples R China
[2] Hangzhou Dianzi Univ, Dept Engn Management, Hangzhou, Zhejiang, Peoples R China
[3] China Light Ind, Res Inst Automat, Dept Automat, Hangzhou, Zhejiang, Peoples R China
[4] Shanghai Maritime Univ, Marine Engn Dept, Shanghai, Peoples R China
[5] Zhejiang Univ, Dept Engn Mech, Hangzhou, Zhejiang, Peoples R China
来源：
2006 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS, VOLS 1-5 | 2006年
关键词：
DSP; engine; vibration analysis; state supervision; fault diagnosis;
D O I：
10.1109/IMTC.2006.235190
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
Depending on the types of engine failures, we attain some means to abstract the eigenvalues of signal in frequency field and time field, and design an intelligent analysis system based on TMS320VC5402.Tthe particular hardware and software design based on the DSP device is present in the paper. The analysis system is high in speed, low in power consume and small in size to be portable. It is fit for run-time supervising and analyzing.
引用
收藏
页码：1129 / +
页数：2
相关论文
共 50 条
  • [31] Fault diagnosis system based on intelligent agent
    Wu, Weiwei
    Yang, Shuzi
    Wu, Jinpei
    Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, 2000, 13 (01): : 78 - 82
  • [32] An intelligent online machine fault diagnosis system
    Fong, ACM
    Hui, SC
    COMPUTING & CONTROL ENGINEERING JOURNAL, 2001, 12 (05): : 217 - 223
  • [33] Intelligent diagnosis for aircraft engine wear fault based on immune theory
    College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing
    211106, China
    Hangkong Xuebao, 6 (1896-1904):
  • [34] Early fault intelligent diagnosis of aero-engine rotor systems
    School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China
    Hangkong Xuebao, 2009, 2 (242-246):
  • [35] Research on Intelligent Fault Diagnosis of Engine Based on MOBP Neural Network
    Zhang, Heda
    Song, Jiantong
    Han, Jialin
    Fang, Fang
    Ren, Wanqiang
    PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION & INTELLIGENT TECHNOLOGY AND SYSTEMS, 2013, 255 : 13 - 18
  • [36] Study on Missile Intelligent Fault Diagnosis System Based on Fuzzy NN Expert System
    Yang Jun
    Feng Zhensheng
    Zhang Xien
    & Liu Pengyuan Dept. of Missile Engineering
    JournalofSystemsEngineeringandElectronics, 2001, (01) : 82 - 87
  • [37] Engine Fault Diagnosis Using Sound Analysis
    Kemalkar, Aniket K.
    Bairagi, Vinayak K.
    2016 INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND DYNAMIC OPTIMIZATION TECHNIQUES (ICACDOT), 2016, : 943 - 946
  • [38] Fault Tree Analysis and Failure Diagnosis of Marine Diesel Engine Turbocharger System
    Knezevic, Vlatko
    Orovic, Josip
    Stazic, Ladislav
    Culin, Jelena
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (12) : 1 - 19
  • [39] Realization of intelligent analysis and fault diagnosis system used in centralized control station
    Zhang, Jian
    Dai, Zemei
    Zhang, Yong
    Shan, Xin
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2013, 33 (SUPPL): : 106 - 111
  • [40] The Engine Fuel System Fault Analysis
    Zhang, Yong
    Song, Hanqiang
    Yang, Changsheng
    Zhao, Wei
    MATERIALS SCIENCE, ENERGY TECHNOLOGY, AND POWER ENGINEERING I, 2017, 1839
12345