Condition detection and fault diagnosis for gear transmission systems

被引：0
|
作者：
Pan, H.-X. [1 ]
Yao, Z.-T. [1 ]
机构：
[1] Dept. of Mechatronic Engineering, North China Institute of Technology, Taiyuan 030051, China
来源：
| 2001年 / North China Institute of Technology卷 / 22期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Aim To probe into fundamental problems in fault diagnosis of gear transmission systems. Methods Discussion around dynamic exciting, model type, selection, modelling and ask solution method, eigen characteristic, dynamic response and dynamic steadiness, etc are developed. Results Through analyzing in the time domain, frequency domain, cepstrum domain and demodulation, fault feature of gear transmission systems is drawn. Conclusion Information fusion technology can distinctly improve the rate of fault identification.
引用
收藏
相关论文
共 50 条
  • [41] Review of condition monitoring and fault diagnosis for marine power systems
    Xiaojian Xu
    Xinping Yan
    Kun Yang
    Jiangbin Zhao
    Chenxing Sheng
    Chengqing Yuan
    Transportation Safety and Environment, 2021, 3 (02) : 85 - 102
  • [42] Review of condition monitoring and fault diagnosis for marine power systems
    Xu, Xiaojian
    Yan, Xinping
    Yang, Kun
    Zhao, Jiangbin
    Sheng, Chenxing
    Yuan, Chengqing
    TRANSPORTATION SAFETY AND ENVIRONMENT, 2021, 3 (02) : 85 - 102
  • [43] Automated fault detection and diagnosis in mechanical systems
    Huang, S. N.
    Tan, K. K.
    Lee, T. H.
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2007, 37 (06): : 1360 - 1364
  • [44] Detection and diagnosis for sensor fault in HVAC systems
    Du, Zhimin
    Jin, Xinqiao
    ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (03) : 693 - 702
  • [45] Bayesian fault detection and diagnosis in dynamic systems
    Lerner, U
    Parr, R
    Koller, D
    Biswas, G
    SEVENTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-2001) / TWELFTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE (IAAI-2000), 2000, : 531 - 537
  • [46] Fault Detection and Diagnosis for Operational Control Systems
    Sheng, Ning
    Wang, Hong
    2015 21ST INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC), 2015, : 335 - 340
  • [47] Integrated condition monitoring and fault diagnosis for modern manufacturing systems
    Zhou, ZD
    Chen, YP
    Fuh, JYH
    Nee, AYC
    CIRP ANNALS 2000: MANUFACTURING TECHNOLOGY, 2000, : 387 - 390
  • [48] Methodologies in power systems fault detection and diagnosis
    Aleem, Saad Abdul
    Shahid, Nauman
    Naqvi, Ijaz Haider
    ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, 2015, 6 (01): : 85 - 108
  • [49] Novel Instantaneous Wavelet Bicoherence for Vibration Fault Detection in Gear Systems
    Gelman, Len
    Solinski, Krzysztof
    Ball, Andrew
    ENERGIES, 2021, 14 (20)
  • [50] GEAR FAULT DIAGNOSIS BASED ON SVM
    Ma, Shang-Jun
    Liu, Geng
    Xu, Yongqiang
    PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2010, : 140 - 143
12345