Fault diagnosis for Hydraulic hoisting system based on the probabilistic SDG model

被引：0
|
作者：
Lei, Su [1 ]
Hua, Song [1 ,2 ]
Hong, Wang [3 ]
机构：
[1] BeiHang Univ, Sch Automat Sci & Elect Engineer, Beijing, Peoples R China
[2] Natl Key Lab Space Intelligent Control Technol, Beijing, Peoples R China
[3] China Waterborne Transport Res Inst, Beijing, Peoples R China
来源：
2012 10TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | 2012年
关键词：
Hydraulic; Probabilistic SDG model; Fault mechanism analysis; Bayesian inference;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Focusing on the hoisting mechanism of crane hydraulic, this paper gives the fault mechanism analysis and fault probability calculation method based on the probabilistic SDG model. The fault mechanism is described by the probabilistic SDG model while the fault propagation is presented by the conditional probability. And so the connection tree algorithm and figure elimination algorithm can be used in Bayesian inference to calculate the fault probability. In case of the given fault, the fault probabilities of the part components can be given.
引用
收藏
页码：627 / 630
页数：4
相关论文
共 50 条
  • [11] Design of Hydraulic Fault Diagnosis System Based on Labview
    Jin Yi
    Liu Xi-xia
    Liu Wei-ping
    ADVANCED MATERIALS AND ENGINEERING MATERIALS, PTS 1 AND 2, 2012, 457-458 : 257 - 260
  • [12] Hydraulic Servo System Fault Diagnosis Based on SVM
    Li Tieying
    Luan Jiahui
    Shan Tianmin
    2012 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT SCIENCE & ENGINEERING (FITMSE 2012), 2012, 14 : 151 - 155
  • [13] Hydraulic Fault Diagnosis Expert System of Excavator Based on Fault Tree
    Li, Guoping
    Zhang, Qingwei
    MACHINERY, MATERIALS SCIENCE AND ENGINEERING APPLICATIONS, PTS 1 AND 2, 2011, 228-229 : 439 - 446
  • [14] Study on fault diagnosis based on the qualitative/quantitative model of SDG and genetic algorithm
    Ma, Yong-Guang
    Gao, Jian-Qiang
    Ma, Liang-Yu
    Yan, Qin
    Tong, Peng
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 2053 - +
  • [15] PCA-SDG based Fault Diagnosis on CAPL Furnace Temperature System
    Lu, Yunsong
    Wang, Fuli
    Chang, Yuqing
    Jia, Mingxing
    Zhu, Min
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 3550 - 3554
  • [16] Study on fault diagnosis method for the tail rope of a hoisting system based on machine vision
    Zhang, Xinge
    Meng, Guoying
    Wang, Aiming
    Cui, Wei
    Cheng, Xiaohan
    Yang, Jie
    ADVANCES IN MECHANICAL ENGINEERING, 2022, 14 (08)
  • [17] Fault Diagnosis for Hydraulic System of Naval Gun Based on BP-Adaboost Model
    Liu, Xiangkun
    Hu, Yanguang
    Xu, Zhijun
    Ren, Yingjie
    Gao, Tingfo
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON RELIABILITY SYSTEMS ENGINEERING (ICRSE 2017), 2017,
  • [18] Fault diagnosis approach of hydraulic system using FARX model
    He, Xiangyu
    CEIS 2011, 2011, 15
  • [19] Hierarchical Method of Fault Diagnosis Based on Extended SDG
    Liu, Yingjie
    Xie, Gang
    Yang, Yunyun
    Chen, Zehua
    Chai, Qinglong
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 3808 - 3812
  • [20] Fault Diagnosis Method Based on Probability Extended SDG and Fault Index
    Liu, Ying-Jie
    Meng, Qing-Hao
    Zeng, Ming
    Ma, Shu-Gen
    PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 2868 - 2873
12345