Energy-based Indexes for Analysis of Vibrations from Rotating Machinery based on the Hilbert-Huang Transform

被引:3
|
作者
Dinardo, Giuseppe [1 ]
Fabbiano, Laura [1 ]
Vacca, Gaetano [1 ]
机构
[1] Politecn Bari Univ, Bari, Italy
关键词
EMPIRICAL MODE DECOMPOSITION; FAULT-DIAGNOSIS; WAVELET TRANSFORM; ROTOR;
D O I
10.1063/1.4952676
中图分类号
O59 [应用物理学];
学科分类号
摘要
The aim of the paper is to introduce a parameter indicating a possible progressive deterioration of rotating machinery affected by any dynamic misalignment (due to increasing eccentricities, uneven mass distribution, propagating cracks, etc.). Such parameter, which has to be considered as a damage index, is based on a series of post-processing algorithms to be implemented on the vibration signals acquired on static supporting elements. The vibrations acquired from rotating machinery could be influenced by non-stationary and non-linear features, especially when the rotating elements are affected by dynamical unbalances due to misalignments or uneven mass distribution. The authors use the Hibert-Huang Transform tool, that is able to decompose the original signal into Intrinsic Mode Functions (IMFs), each of them holding quite significant information about the instantaneous frequencies and the energy content of the original signal.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Analysis of Rotor Rubbing Fault signal Based on Hilbert-Huang Transform
    Xiang Ling
    Tang Guiji
    Hu Aijun
    2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I, 2009, : 586 - 589
  • [32] Research on order tracking based on Hilbert-Huang transform
    China Aero-Polytechnology Establishment, Beijing 100028, China
    不详
    Zhendong Ceshi Yu Zhenduan, 2006, SUPPL. (157-159):
  • [33] Speech pitch determination based on Hilbert-Huang transform
    Huang, H
    Pan, JQ
    SIGNAL PROCESSING, 2006, 86 (04) : 792 - 803
  • [34] Method of Speech Enhancement Based on Hilbert-Huang Transform
    Li, Xueyao
    Zou, Xiaojie
    Zhang, Rubo
    Liu, Guanqun
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 8419 - 8424
  • [35] Voltage sags detection based on Hilbert-Huang transform
    Teaching and Training Center of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, China
    不详
    Int. J. Signal Process. Image Process. Pattern Recogn., 3 (91-97):
  • [36] Hilbert-Huang transform based physiological signals analysis for emotion recognition
    Zong, Cong
    Chetouani, Mohamed
    2009 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2009), 2009, : 334 - 338
  • [37] Feature Analysis of Heart Sound Based on the Improved Hilbert-Huang Transform
    Liu, Lihan
    Wang, Haibin
    Wang, Yan
    Tao, Ting
    Wu, Xiaochen
    PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 6, 2010, : 378 - 381
  • [38] Analysis of the characteristics of gastrointestinal motility based on Hilbert-Huang transform method
    No.820 Laboratory, Department of Instrument, Shanghai Jiaotong University, Shanghai 200240, China
    High Technol Letters, 2008, 1 (30-34):
  • [39] Hilbert-Huang Transform Based Doppler Blood Flow Signals Analysis
    Zhang, Dongyu
    Wang, Kuanquan
    Wu, Xiangqian
    Huang, Bo
    Li, Naimin
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4, 2009, : 646 - 650
  • [40] Spectrum Analysis Method of Residual Current Based on Hilbert-Huang Transform
    Wang, Jinli
    Liu, Yongmei
    Wang, Li
    Guan, Haiou
    Du, Songhuai
    Su, Juan
    Cai, Yating
    Fan, Tingting
    2016 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2016,