Diesel Engine Turbocharger Monitoring by Processing Accelerometric Signals through Empirical Mode Decomposition and Independent Component Analysis

被引:0
|
作者
Chiavola, Ornella [1 ]
Palmieri, Fulvio [1 ]
Bocchetta, Gabriele [1 ]
Fiori, Giorgia [1 ]
Scorza, Andrea [1 ]
机构
[1] Roma Tre Univ, Dept Ind Elect & Mech Engn, I-00146 Rome, Italy
关键词
diesel engine; combustion process; accelerometer; vibration measurements; combustion control; IN-CYLINDER PRESSURE; COMBUSTION; VIBRATION;
D O I
10.3390/en17174293
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this study, a method for the monitoring of internal combustion engine operation by vibration signals is proposed. The work falls within the context of the increasingly stringent standards relating to the environmental impact of engines and the development of monitoring and control techniques to ensure increased engine performance as well as fuel saving and reduction of pollutant emissions. Experimentation was performed on a turbocharged light-duty compression ignition direct-injection engine. Two monoaxial accelerometers were installed on the engine compressor case, the speed of which has been demonstrated to be closely related to the engine operation. Vibration measurements of the engine compressor case have been processed by combining the Empirical Mode Decomposition technique with Independent Component Analysis and Short Time Fourier Transform to indirectly estimate the turbocharger speed. The obtained traces have been compared to the direct turbocharger velocity measures during the stationary running of the engine (speed and load conditions varied in the complete engine's range of operation). The results point out the potentiality of the methodology in algorithms devoted to identifying modifications of the combustion development regarding regular operation via indirect turbocharger speed monitoring.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Source Separation of Diesel Engine Vibration Based on the Empirical Mode Decomposition and Independent Component Analysis
    DU XianfengLI ZhijunBI FengrongZHANG JunhongWANG Xiaand SHAO Kang State Key Laboratory of EnginesTianjin UniversityTianjin China
    Chinese Journal of Mechanical Engineering, 2012, 25 (03) : 557 - 563
  • [2] Source Separation of Diesel Engine Vibration Based on the Empirical Mode Decomposition and Independent Component Analysis
    Du Xianfeng
    Li Zhijun
    Bi Fengrong
    Zhang Junhong
    Wang Xia
    Shao Kang
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2012, 25 (03) : 557 - 563
  • [4] Source separation of diesel engine vibration based on the empirical mode decomposition and independent component analysis
    Xianfeng Du
    Zhijun Li
    Fengrong Bi
    Junhong Zhang
    Xia Wang
    Kang Shao
    Chinese Journal of Mechanical Engineering, 2012, 25 : 557 - 563
  • [5] Application of independent component analysis in empirical mode decomposition
    Chen, Jian-Guo
    Zhang, Zhi-Xin
    Guo, Zheng-Gang
    Weng, Feng-Fao
    Li, Hong-Kun
    Zhendong yu Chongji/Journal of Vibration and Shock, 2009, 28 (01): : 109 - 111
  • [6] Application of independent component analysis to decomposition of engine acoustic signals
    Ge, Nan
    Liu, Yue-Hui
    Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2006, 39 (04): : 454 - 457
  • [7] Noise source identification of diesel engine based on variational mode decomposition and robust independent component analysis
    Yao, Jiachi
    Xiang, Yang
    Qian, Sichong
    Wang, Shuai
    Wu, Shaowei
    APPLIED ACOUSTICS, 2017, 116 : 184 - 194
  • [8] A Radio Grid Monitoring Method Based on Independent Component Analysis with Empirical Mode Decomposition Denoising
    Zhang, Jingshu
    Yue, Yu
    Li, Dou
    Yang, Yanjun
    Zhao, Yuping
    2018 IEEE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION SYSTEMS (ICCIS), 2018, : 127 - 131
  • [9] Empirical Mode Decomposition and Principal Component Analysis implementation in processing non-invasive cardiovascular signals
    Pinheiro, Eduardo
    Postolache, Octavian
    Girao, Pedro
    MEASUREMENT, 2012, 45 (02) : 175 - 181
  • [10] Data analysis using a combination of independent component analysis and empirical mode decomposition
    Lin, Shih-Lin
    Tung, Pi-Cheng
    Huang, Norden E.
    PHYSICAL REVIEW E, 2009, 79 (06):