Evaluation of diesel engine wear condition based on fuzzy C-mean algorithm

被引：0
|
作者：
Zhao, Xuehong [1 ]
Zhang, Laibin [1 ]
Fan, Jianchun [1 ]
机构：
[1] Sch. of Mech. and Electron. Eng., Univ. of Petroleum, Beijing 102249, China
来源：
Run Hua Yu Mi Feng/Lubrication Engineering | 2005年 / 02期
关键词：
Components - Evaluation - Fuzzy sets - Spectrum analysis - Wear of materials;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The principle and procedure of fuzzy C-mean algorithm were discussed. The content of wear elements in spectrum analysis and three quantitative parameters in ferrographic technology were chosen as feature parameters, then fuzzy C-mean algorithm was applied to analyze wear condition of diesel engine. The model was testified by experimental data, and results were proven to be reliable and accuracy.
引用
收藏
页码：23 / 25
相关论文
共 50 条
  • [1] A Method of Fault Detection on Diesel Engine Based on EMD-Fractal Dimension and Fuzzy C-Mean Clustering Algorithm
    Zeng, Ruili
    Zhang, Shuai
    Zeng, Rong
    Shen, Hong
    Zhang, Lingling
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 7679 - 7683
  • [2] Fuzzy C-mean algorithm based on "complete" Mahalanobis distances
    Liu, Hsiang-Chuan
    Yih, Jeng-Ming
    Wu, Der-Bang
    Liu, Shin-Wu
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 3569 - +
  • [3] Feature Evaluation Based Fuzzy C-Mean Classification
    Salama, Mostafa A.
    Hassanien, Aboul Ella
    Fahmy, Aly A.
    IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 2534 - 2539
  • [4] The Cuckoo search Algorithm Based on Fuzzy C-mean Clustering
    Yu, Lijun
    Dong, Zequan
    Wang, Hui
    Ding, Ying
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 2691 - 2696
  • [5] Document Clustering by Fuzzy C-Mean Algorithm
    Win, Thaung Thaung
    Mon, Lin
    2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 1, 2010, : 239 - 242
  • [6] A fuzzy C-mean based data mining algorithm used in the bioinformation
    College of technology, Xi’an International University, Xi’an
    Shaanxi
    710077, China
    Int. J. Hybrid Inf. Technol., 6 (135-144): : 135 - 144
  • [7] Study of classified evaluation of slope stability based on homotopy fuzzy C-mean clustering algorithm
    Wen Jian-hua
    Zhou Cui-ying
    Huang Lin-chong
    Cheng Ye
    ROCK AND SOIL MECHANICS, 2012, 33 (05) : 1457 - 1461
  • [8] A parallel Fuzzy C-mean algorithm for image segmentation
    Rahimi, S
    Zargham, M
    Thakre, A
    Chhillar, D
    NAFIPS 2004: ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1AND 2: FUZZY SETS IN THE HEART OF THE CANADIAN ROCKIES, 2004, : 234 - 237
  • [9] Fuzzy C-Mean algorithm based on Mahalanobis distance and new separable criterion
    Liu, Hsiang-Chuan
    Yih, Jeng-Ming
    Wu, Der-Bang
    Chen, Chin-Chun
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 1851 - +
  • [10] Fuzzy c-Mean Algorithm Based on Complete Mahalanobis Distances and Separable Criterion
    Liu, Hsiang-Chuan
    Wu, Der-Bang
    Yih, Jeng-Ming
    Liu, Shin-Wu
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS, 2008, : 87 - +
12345