A fusion method of rough set and neural network for fault diagnosis

被引：0
|
作者：
Su, WJ [1 ]
Su, Y [1 ]
Xu, Y [1 ]
Zhao, H [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON MAGNETIC INDUSTRY (ISMI'04) & FIRST INTERNATIONAL SYMPOSIUM ON PHYSICS AND IT INDUSTRY (ISITI'04) | 2005年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the paper, a fusion method of rough set and neural network for fault is put forward and used in Generator fault diagnosis. At first, rough set theory is utilized to reduce attribute of diagnosis system. Set in accordance with the practical needs, optimized decision attribute set acts as the input of artificial neural network used for fault diagnosis, which has been used for Fengman hydroelectric power station and testified the feasibility of integration of rough set and neural network. Given enough data, this method could be popularized to other generators.
引用
收藏
页码：310 / 311
页数：2
相关论文
共 50 条
  • [41] Fault diagnosis of wind turbine based on rough set and BP network
    Li, Xinli
    Yao, Wanye
    Zhou, Qingjie
    Wang, Jianming
    Liu, Jingzhi
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA 2015), 2015, 15 : 877 - 883
  • [42] Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network
    Li, Hongmei
    Huang, Jinying
    Ji, Shuwei
    [J]. SENSORS, 2019, 19 (09)
  • [43] Multifocus Image Fusion Algorithm Based on Rough Set and Neural Network
    Xu, Xiaohui
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (20) : 11967 - 11974
  • [44] Fault Diagnosis Method of Polymerization Kettle Equipment Based on Rough Sets and BP Neural Network
    Gao, Shu-zhi
    Wang, Jie-sheng
    Zhao, Na
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [45] Fault Diagnosis of Computer Network Based On Rough Sets and BP Neural Network
    Shang, Zhixin
    Zhou, Yu
    Ye, Qingwei
    Wang, Xiaodong
    [J]. 2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM), 2012,
  • [46] Research on the fault diagnosis method for high-speed loom using rough set and Bayesian network
    Xiao, Yanjun
    Zhang, Heng
    Zhou, Wei
    Wan, Feng
    Meng, Zhaozong
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (01) : 1147 - 1161
  • [47] Novel Approach of Fault Diagnosis in Wireless Sensor Networks Node Based On Rough Set and Neural Network Model
    Xu, Hongsheng
    Zhang, Ruiling
    Lin, Chunjie
    Ma, Youzhong
    [J]. INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING, 2016, 9 (04): : 1 - 15
  • [48] Fault Diagnosis Based on Rough Set and BP Neural Network (RS-BP) for Gas Turbine Engine
    Zhao, Ningbo
    Li, Shuying
    Yi, Shuang
    Cao, Yunpeng
    Wang, Zhitao
    [J]. THERMAL, POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 732-733 : 397 - 401
  • [49] Transformer fault diagnosis method based on graph theory and rough set
    Peng Lu
    Li Wenhui
    Huang Dongmei
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (01) : 223 - 230
  • [50] A fault diagnosis method for transformer integrating rough set with fuzzy rules
    Wang, Zhiyong
    Guo, Chuangxin
    Jiang, Quanyuan
    Cao, Yijia
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2006, 28 (03) : 243 - 251
12345