Diesel Engine Air Tightness Feature Recognition Based on Multi-scale Analysis

被引：0
|
作者：
Song, Xiaojie [1 ]
Liu, Wei [1 ]
Tan, Boxue [1 ]
机构：
[1] Shandong Univ Tecnol, Sch Elect & Elect Engn, Zi Bo, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2012): ALGORITHMS, PATTERN RECOGNITION AND BASIC TECHNOLOGIES | 2013年 / 8784卷
关键词：
Cylinder air tightness; starting voltage; mallat algorithm; feature recognition;
D O I：
10.1117/12.2021214
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Cylinder air tightness is an important indicator to the comprehensive performance of internal combustion engine. It can be got the low-frequency and high-frequency signals of the starting voltage waveform using multi-scale analysis method and by binary discrete wavelet transform with the Mallat algorithm. The experiment results show that the working conditions of diesel engine starting process can be shown from the low-frequency signals, and the main frequency distribution can be recognised from the high frequency partial. This algorithm can effectively identify signal characteristics, and provide a reliable basis for signal feature recognition.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] RETRACTED: Diesel Engine Air Tightness Feature Recognitionbased on Multi-scale Analysis (Retracted Article)
    Song, Xiaojie
    Liu, Wei
    Tan, Boxue
    [J]. 2011 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL SCIENCE-ICEES 2011, 2011, 11 : 1212 - 1216
  • [2] Multi-Scale Feature For Recognition
    Lei, Songze
    Hao, Chongyang
    Qi, Min
    [J]. ICECT: 2009 INTERNATIONAL CONFERENCE ON ELECTRONIC COMPUTER TECHNOLOGY, PROCEEDINGS, 2009, : 277 - 280
  • [3] Multi-scale Feature Fusion Based Dongba Character Recognition
    Luo, Haini
    Xu, Dan
    Yang, Bing
    Zhang, Haoyuan
    [J]. 2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020), 2020, : 1571 - 1575
  • [4] Lightweight silkworm recognition based on Multi-scale feature fusion
    Wen, Chunming
    Wen, Jie
    Li, Jianheng
    Luo, Yunyun
    Chen, Minbo
    Xiao, Zhanpeng
    Xu, Qing
    Liang, Xiang
    An, Hui
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 200
  • [5] Multi-scale feature extraction for face recognition
    Mandal, B.
    Jiang, X. D.
    Kot, A.
    [J]. ICIEA 2006: 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, PROCEEDINGS, 2006, : 792 - 797
  • [6] Multi-scale feature extraction for face recognition
    Mandal, B.
    Jiang, X. D.
    Kot, A.
    [J]. 2006 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, 2006, : 1619 - +
  • [7] Multi-scale feature analysis method for bridge recognition in SAR images
    Yin, Dong
    Miao, Yuqing
    Li, Guiqin
    Bin Cheng
    [J]. 2007 1ST ASIAN AND PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR PROCEEDINGS, 2007, : 517 - +
  • [8] An image multi-scale feature recognition method based on image saliency
    Yang, Chengzhi
    [J]. International Journal of Circuits, Systems and Signal Processing, 2021, 15 : 280 - 287
  • [9] Wafer defect recognition method based on multi-scale feature fusion
    Chen, Yu
    Zhao, Meng
    Xu, Zhenyu
    Li, Kaiyue
    Ji, Jing
    [J]. FRONTIERS IN NEUROSCIENCE, 2023, 17
  • [10] Speech emotion recognition based on multi-dimensional feature extraction and multi-scale feature fusion
    Yu, Lingli
    Xu, Fengjun
    Qu, Yundong
    Zhou, Kaijun
    [J]. APPLIED ACOUSTICS, 2024, 216
12345