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《Journal of Beijing Institute of Machinery》 2006-02
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A study of fault diagnose system of rotating machine based on rough sets

XING Lian-guo,XU Bao-jie(Department of Mechanical Engineering,Beijing Institute of Machinery,Beijing 100085,China)  
In order to extract simple and effective decision rules for fault diagnosis from the available original fault data containing inconsistent and redundant information,the attributes and attribute value are reduced through the proposed decision table reduction algorithms.A knowledge acquisition model based on rough sets is proposed in detail.The decision table is built by analyzing typical faults of rotating machine.This method solves the bottleneck of knowledge acquisition.Diagnostic results show the validity of the approach.
【Fund】: 国家自然科学基金资助项目(50375017);; 北京市自然科学基金资助项目(3062008、3042006)
【CateGory Index】: TH17
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2 Wei Chuanfeng Li Yunze Wang Jun (School of Aeronautic Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China) Yu Tao (China Academy of Space Technology Environment Engineering Dept., Beijing 100029, China);Design on inference engine of the spacecraft thermal fault diagnosis expert system[J];Journal of Beijing University of Aeronautics and Astronautics;2005-01
3 CI Jian ping 1, ZHANG Wei min 1, NA Rong qi 1, TANG Hua 2 (1 School of Mechanical Engineering and Automation, Beijing Institute of Technology, Beijing100081, China; 2 School of Mechano Electronics Engineering, Beijing Institute of Tec;Genetic Algorithms in Compressor Failure Diagnosis[J];Journal of Beijing Institute of Technology;2001-03
4 DAI Zhong-jian,SU Li-min (1.Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China; 2.School of Information Science and Technology,Beijing Union University, Beijing100101, China);Design and Realization of a Network Fault Diagnosing Expert System Based on Genetic Algorithm[J];Journal of Beijing Institute of Technology;2005-01
5 TANG Fu-hua~1,GUO Yin-jing~2,YANG Yang~1,KANG Jing-li~1(1. School of Mechatronics Engineering, Beijing Institute of Technology, Beijing100081, China; 2.College of Information and Electronic Engineering, Shandong University of Science and Technology, Qingdao, Shandong266510, China);An Improved Recurrent Neural Network and Its Simulation[J];Journal of Beijing Institute of Technology;2005-05
6 JI Chang-wei1, RONG Ji-li2 (1.Department of Automotive Engineering, Beijing Polytechnic University, Beijing100022, China; 2.Department of Applied Mechanics, Beijing Institute of Technology, Beijing100081, China);Development of Fault Diagnosis System for Spacecraft Based on Fault Tree and G2[J];北京理工大学学报(英文版);2002-04
7 ZHANG Tie-yan, SUN Qiu-ye, ZHANG Hua-guang, LIU Li (School of Information Science & Engineering, Northeastern University, Shenyang 110004, China. );A Knowledge Acquisition by Rough Set Based on Incomplete Data Sets and Its Application in Fault Diagnosis for Electricity Networks[J];JOURNAL OF NORTHEASTERN UNIVERSITY;2004-04
8 WANG Qing, BA De-chun, WANG Xiao-dong(School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110004, China. );Intelligent Fault Diagnosis Model Based on Rough Sets and Decision Tree Theory[J];JOURNAL OF NORTHEASTERN UNIVERSITY;2005-01
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10 WU Shou-hua XIA Cheng-liang (Daao Hydropower Plant,Shangrao 334100,China);Experience in Online Monitoring of the Generator Unit Vibration Monitor Used in Daao Hydropower Plant[J];Dam Observation and Geotechnical Tests;2005-06
【Secondary References】
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1 LI Zhi-hong(Nanchang Institute of Technology,Nanchang 330099,China);A Summarize on De-noising Technology of High-frequency Noise for Hydropower Generating Unit[J];Large Electric Machine and Hydraulic Turbine;2009-06
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