ASD system condition monitoring using cross bicoherence

被引:3
|
作者
Kim, Taekhyun [1 ]
Cho, Wonjin [1 ]
Powers, Edward J. [1 ]
Grady, W. Mack [1 ]
Arapostathis, Ari [1 ]
机构
[1] Univ Texas Austin, Dept Elect & Comp Engn, 1 Univ Stn C0803, Austin, TX 78712 USA
关键词
adjustable speed drives; interharmonics; harmonics; cross bicoherence; condition monitoring;
D O I
10.1109/ESTS.2007.372113
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In this paper, we propose a novel condition monitoring method for adjustable speed drives (ASD) and ASD-driven motors. The key idea is to diagnose the status of the load side of an ASD from observations made at the source side. The use of a higher-order spectral metric, the cross bicoherence, is proposed for the detection and analysis of anomalies associated with nonlinear devices in ASD systems. In this paper, we apply our method to detect phase imbalance at the load side of an ASD. Our experimental results demonstrate that the proposed method provides a unique signature of phase imbalance for detection and classification of asymmetric impedance associated with the phase imbalance. Furthermore, the proposed method shows a more sensitive detection performance compared to the conventional imbalance measurement method, which enables early detection of potential faults.
引用
收藏
页码:378 / +
页数:2
相关论文
共 50 条
  • [1] Experience with bicoherence of electrical power for condition monitoring of wind turbine blades
    Jeffries, WQ
    Chambers, JA
    Infield, DG
    IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 1998, 145 (03): : 141 - 148
  • [2] Bearing condition monitoring by pattern recognition based on bicoherence analysis of vibrations
    Li, CJ
    Ma, J
    Hwang, B
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 1996, 210 (03) : 277 - 285
  • [3] A Wavelet Bicoherence-Based Quadratic Nonlinearity Feature for Translational Axis Condition Monitoring
    Li, Yong
    Wang, Xiufeng
    Lin, Jing
    Shi, Shengyu
    SENSORS, 2014, 14 (02): : 2071 - 2088
  • [4] Bearing system health condition monitoring using a wavelet cross-spectrum analysis technique
    Liu, Jie
    Wang, Wilson
    Ma, Fai
    JOURNAL OF VIBRATION AND CONTROL, 2012, 18 (07) : 953 - 963
  • [5] Bearing system health condition monitoring using a wavelet cross-spectrum analysis technique
    Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada
    不详
    不详
    JVC/J Vib Control, 7 (953-963):
  • [6] In search of the elusive zonal flow using cross-bicoherence analysis
    Diamond, PH
    Rosenbluth, MN
    Sanchez, E
    Hidalgo, C
    Van Milligen, B
    Estrada, T
    Brañas, B
    Hirsch, M
    Hartfuss, HJ
    Carreras, BA
    PHYSICAL REVIEW LETTERS, 2000, 84 (21) : 4842 - 4845
  • [7] Medical Condition Monitoring System using Fuzzy Logic
    Khokhar, Salah-ud-din
    Peng, Qinke
    Touqir, Raeena
    Khan, M. Saleem
    PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS), 2020, : 211 - 216
  • [8] CONDITION MONITORING OF DRILL PROCESS USING A TELEMETRY SYSTEM
    PUGAZHENDI, M
    KRISHNAMURTHY, R
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1991, 28 (1-2) : 67 - 73
  • [9] Condition Monitoring for Train Suspension System Based on Cross-correlation
    Guo, Jin
    Ren, Ning
    Xu, Zhengguo
    Fu, Minyue
    Sun, Youxian
    2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2014, : 1194 - 1197
  • [10] Monitoring of Friction Condition Using a System Identification Technique
    Tsai, M. -S.
    Yuan, W. -H.
    Huang, H. -W.
    Liu, C. -C.
    Wang, F. C.
    STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2, 2013, : 1815 - +