Application on Information Fusion Technology of Fault Diagnosis of Mine Hoist

被引：0

作者：

Wang Yu-fang ^{[1
]}

机构：

[1] Shandong Yingcai Univ, Jinan 250104, Peoples R China

来源：

2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年

关键词：

mine hoist; D-S evidence theory algorithm; fault diagnosis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A information fusion diagnosis system was built to reflect the real condition of the mine hoist, to achieve automatical identification and accurate diagnosis of the mine hoist. There are so many limitations in the traditional combination rules of D - S evidence theory. So a new evidence synthesis formula is put forward. It is proved by example analysis that the diagnosis result based on the improved algorithm is more accurate, effective and feasible.

引用

页码：4919 / 4922

页数：4

共 50 条

[31] Fault testing and diagnosis system of armored vehicle based on information fusion technology [J].

Xu Zhenhui ;

Wu Xiaobo ;

Guo Ying .

ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL III, 2007, :708-+

[32] Mine-Hoist Active Fault Tolerant Control System and Strategy [J].

WANG Zhijie WANG Yaocai MENG Jiang ZHAO Pengcheng CHANG Yanwei School of Information and Electrical Engineering China University of Mining TechnologyXuzhouJiangsu China School of Information and Electrical Engineering Shandong University of Science Technology Taian Shandong China .

JournalofChinaUniversityofMining&Technology, 2005, (02) :96-99

[33] A generalized χ2 divergence for multisource information fusion and its application in fault diagnosis [J].

Gao, Xueyuan ;

Xiao, Fuyuan .

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 37 (01) :5-29

[34] Application of Multi-sensor Information Fusion in the Fault Diagnosis of Hydraulic System [J].

LIU Bao-jie ;

YANG Qing-wen ;

WU Xiang ;

FANG Shi-dong ;

GUO Feng .

InternationalJournalofPlantEngineeringandManagement, 2017, 22 (01) :12-20

[35] Application of multi-sensor information fusion in fault diagnosis of rotating machinery [J].

Guan, Ke ;

Mei, Tao ;

Wang, Deji .

2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, :425-429

[36] A novel fault transfer diagnosis method using CBAM-MobileNetV2 and its application to mine hoist main bearings under variable working conditions [J].

Jiang, Fan ;

Song, Hongyan ;

Shen, Xi ;

Huang, Tan ;

Zhou, Gongbo ;

Zhu, Zhencai ;

Li, Qiang .

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2025, 39 (06) :3091-3104

[37] Reciprocating Compressor Fault Diagnosis Technology Based on Multi-source Information Fusion [J].

Zhang M. ;

Jiang Z. .

Jiang, Zhinong (jiangzhinong@263.net), 1600, Chinese Mechanical Engineering Society (53) :46-52

[38] Diesel fault diagnosis technology based on the theory of Fuzzy Neural Network information fusion [J].

Li, HK ;

Ma, XJ ;

He, Y .

FUSION 2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE OF INFORMATION FUSION, VOLS 1 AND 2, 2003, :1405-1410

[39] Bearing Fault Diagnosis Based on Information Fusion [J].

Zhang Dongdong ;

Huang Min ;

Huang Mingsheng .

PROCEEDINGS OF 2010 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY, VOL 1 AND 2, 2010, :970-+

[40] Trend forecast of mine hoist fault with wavelet neural network [J].

Liu Zhaojun ;

Zhu Xijun .

3RD INTERNATIONAL SYMPOSIUM ON MODERN MINING & SAFETY TECHNOLOGY PROCEEDINGS, 2008, :1050-1053

← 1 2 3 4 5 →