A new method for identifying the gear transmission system by the time-frequency distribution

被引：0
|
作者：
Shao, RP [1 ]
Shen, YW [1 ]
Jia, PR [1 ]
机构：
[1] Northwestern Polytech Univ, Dept Mech Engn, Xian, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL TRANSMISSIONS | 2001年
关键词：
gear transmission system; dynamic natural characteristic; time-frequency distribution;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The basic method of time-frequency analysis (TFA), which can be used to study the dynamic character of gear transmission system,is briefly introduced. The dynamic natural characteristic of the system is identified by TFA, and it is compared with both ARMA and Hilbert transform methods. It is shown that TFA method is both effective and reliable for studying the time-varying and dynamic System. And it is worthy to be spread in application.
引用
收藏
页码：582 / 585
页数：4
相关论文
共 50 条
  • [11] A method for nonlinear system classification in the time-frequency plane
    Galleani, L
    Lo Presti, L
    De Stefano, A
    SIGNAL PROCESSING, 1998, 65 (01) : 147 - 153
  • [12] An improved time-frequency distribution method for ionosphere phase decontamination
    Li, Xue
    Lu, Zhuan Xia
    Guo, Wen Ling
    2012 10TH INTERNATIONAL SYMPOSIUM ON ANTENNAS, PROPAGATION & EM THEORY (ISAPE), 2012, : 571 - 574
  • [13] A NEW TIME-FREQUENCY METHOD FOR EEG ARTIFACTS REMOVING
    Wang, Jiawei
    Su, Fei
    2014 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS), 2014, : 341 - 346
  • [14] Time-Frequency Manifold for Gear Fault Signature Analysis
    He, Qingbo
    Liu, Yongbin
    Wang, Jun
    Wang, Jianjun
    Gong, Chang
    2011 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2011, : 491 - 495
  • [15] A distinguished deep learning method for gear fault classification using time-frequency representation
    Nguyen, Trong-Du
    Nguyen, Huu-Cuong
    Pham, Duong-Hung
    Nguyen, Phong-Dien
    DISCOVER APPLIED SCIENCES, 2024, 6 (07)
  • [16] Time-frequency analysis of chaos system based on Wigner distribution
    Nie, CY
    Shi, YW
    Yi, WS
    Cheng, FQ
    2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, : 396 - 398
  • [17] \ Analysis of chaotic system characters based on time-frequency distribution
    Nie, Chunyan
    Shi, Yaowu
    Yi, Wensuo
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4842 - +
  • [18] ACCURATE TIME-FREQUENCY TRANSFER METHOD USING BIDIRECTIONAL WDM TRANSMISSION
    IMAOKA, A
    KIHARA, M
    ELECTRONICS LETTERS, 1995, 31 (16) : 1361 - 1362
  • [19] AN NEW EXPLANATION OF PULSE COMPRESSION BASED ON TIME-FREQUENCY DISTRIBUTION
    Tan, Jian
    Wen, Biyang
    Tian, Yingwei
    2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP), 2014, : 2073 - 2077
  • [20] Mechanical fault diagnosis based on a new time-frequency distribution
    Wang, Xinqing
    Ma, Ruiheng
    Wang, Yaohua
    Yan, Jun
    Cai, Ligen
    Zeng, Yonghua
    Wang, Yang
    Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering, 2003, 39 (07): : 150 - 153
12345