Periodic trend detection from CMM data based on the continuous wavelet transform

被引：5
|
作者：
Wang, H [1 ]
Chen, GL [1 ]
Zhu, P [1 ]
Lin, ZQ [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200030, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2006年 / 27卷 / 7-8期
关键词：
assembly; continuous wavelet transform; deviation; entropy;
D O I：
10.1007/s00170-004-2232-2
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The main goal of this paper is to describe a method based on the continuous wavelet transform (CWT). The Shannon entropy of CWT coefficients in each scale is calculated in order to detect the characteristic trends of the CMM measurement data efficiently. This method is successfully implemented in a body-in-white (BIW) assembly for the detection of periodic trends in coordinate measure machine (CMM) data. It would contribute to main cause location in BIW quality control. The principle of the CWT and the property of the periodic trend after the CWT are explained from a mathematical viewpoint. An actual quality-control case is analyzed using the CWT method. Consistency between the results and the actual situation proves the effectiveness of this CWT method.
引用
收藏
页码：733 / 737
页数：5
相关论文
共 50 条
  • [1] Periodic trend detection from CMM data based on the continuous wavelet transform
    Hua, Wang
    Guanlong, Chen
    Ping, Zhu
    Zhongqin, Lin
    International Journal of Advanced Manufacturing Technology, 2006, 27 (7-8): : 733 - 737
  • [2] Periodic trend detection from CMM data based on the continuous wavelet transform
    Wang Hua
    Chen Guanlong
    Zhu Ping
    Lin Zhongqin
    The International Journal of Advanced Manufacturing Technology, 2006, 27 : 733 - 737
  • [3] Sequential Damage Detection based on the Continuous Wavelet Transform
    Liao, Yizheng
    Balafas, Konstantious
    Rajagopal, Ram
    Kiremidjian, Anne S.
    SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2015, 2015, 9435
  • [4] Continuous Wavelet Transform Based Method For Detection Of Arousal
    Kantar, Tugce
    Erdamar, Aykut
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [5] Myopathy Detection and Classification Based on the Continuous Wavelet Transform
    Belkhou, Abdelali
    Achmamad, Abdelouahed
    Jbari, Atman
    JOURNAL OF COMMUNICATIONS SOFTWARE AND SYSTEMS, 2019, 15 (04) : 336 - 342
  • [6] HYDROLOGICAL DATA TREND ANALYSIS WITH WAVELET TRANSFORM
    Yerdelen, Cehit
    Abdelkader, Mohamed
    COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES, 2021, 74 (08): : 1194 - 1202
  • [7] Feature detection and fault diagnosis based on continuous wavelet transform
    Jing, L., 2000, Chinese Mechanical Engineering Society (36):
  • [8] Detection Of Transformer Winding Deformations Based On Continuous Wavelet Transform
    Biswas, Subrata
    Chand, Sandip Kumar
    2017 IEEE CALCUTTA CONFERENCE (CALCON), 2017, : 184 - 189
  • [9] Peak Detection for Infrared Spectrum Based on Continuous Wavelet Transform
    Cai Tao
    Wang Xian-Pei
    Du Shuang-Yu
    Yang Jie
    CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2011, 39 (06) : 911 - 914
  • [10] Application of the continuous wavelet transform in periodic error compensation
    Lu, Chao
    Troutman, John R.
    Schmitz, Tony L.
    Ellis, Jonathan D.
    Tarbutton, Joshua A.
    PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2016, 44 : 245 - 251
12345