Signal Processing Method (HT and HHT) of AE for Complex Fault Detection

被引：0
|
作者：
Ha, Jeong-Min [1 ]
Lee, Jong-Myeong [1 ]
Lee, Jeong-Hoon [1 ]
Gu, Dong-Sik [2 ]
Choi, Byeong Keun [1 ]
机构：
[1] Gyeongsang Natl Univ, Dept Energy & Mech Engn, Tongyeong City, South Korea
[2] Changwon Moonsung Univ, Dept Ship Bldg & Marine Engn, Chang Won, South Korea
来源：
PHYSICAL AND NUMERICAL SIMULATION OF MATERIALS PROCESSING VII | 2013年 / 762卷
关键词：
acoustic emission; complex defects; bearings; signal processing;
D O I：
10.4028/www.scientific.net/MSF.762.656
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the signal processing method, envelope analysis is a useful method to evaluate the rolling element bearing problems and Wavelet transform is a powerful method to detect faults occurred on gearboxes. However, exact method for AE signal is not developed yet. Therefore, in this paper, two methods, which are Hilbert Transform (HT) and Hilbert-Huang transforms (HHT), will be compared for development a signal processing method for early fault detection system by using AE. HHT has better advantages than HT because HHT can show the time-frequency domain result. But, HHT needs long time to process a signal, which has a lot of data, and has a disadvantage in de-noising filter.
引用
收藏
页码：656 / +
页数：2
相关论文
共 50 条
  • [31] EXPERT AE SIGNAL ARRIVAL DETECTION
    Chlada, Milan
    EUROPEAN NDT DAYS IN PRAGUE 2007: NDT IN PROGRESS, PROCEEDINGS, 2007, : 81 - 88
  • [32] Series Arc Fault Detection Using Novel Signal Processing Technique
    Atharparvez, Manaf
    Purandare, Kedar R.
    PROCEEDINGS OF 2018 29TH INTERNATIONAL CONFERENCE ON ELECTRICAL CONTACTS AND 64TH IEEE HOLM CONFERENCE ON ELECTRICAL CONTACTS, 2018, : 335 - 339
  • [33] A Novel Use of Signal Processing Tools for Fault Detection in IC Engines
    Puliyakote, Sreedhar
    Balasubramaniam, Krishnan
    2013 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2013, : 449 - 452
  • [34] Condition monitoring and fault detection of a compressor using signal processing techniques
    Zhang, YM
    Jiang, J
    Flatley, M
    Hill, B
    PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2001, : 4460 - 4465
  • [35] A signal processing approach to bearing fault detection with the use of a mobile phone
    Rzeszucinski, Pawel
    Orman, Maciej
    Pinto, Cajetan T.
    Tkaczyk, Agnieszka
    Sulowicz, Maciej
    2015 IEEE 10TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2015, : 310 - 315
  • [36] Fault detection in thermocouples: Unveiling anomalies with machine learning and signal processing
    Kumar, Valipi Dinesh
    Bhattacharyya, Anindya
    Behera, Rajendra Prasad
    Prabakar, K.
    NUCLEAR ENGINEERING AND DESIGN, 2025, 435
  • [37] Fractal Based Signal Processing for Fault Detection in Ball-Bearings
    Ziaja, Aleksandra
    Barszcz, Tomasz
    Staszewski, Wieslaw
    CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS, 2012, : 385 - 392
  • [38] EXPERT AE SIGNAL ARRIVAL DETECTION
    Chlada, Milan
    EUROPEAN NDT DAYS IN PRAGUE 2007: NDT IN PROGRESS, PROCEEDINGS, 2007, : 249 - 256
  • [39] Advanced Signal Processing Techniques for Bearing Fault Detection in Induction Motors
    Ben Abid, Firas
    Braham, Ahmed
    2018 15TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES (SSD), 2018, : 882 - 887
  • [40] Complex signal processing is not complex
    Martin, KW
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2004, 51 (09) : 1823 - 1836
12345