RETRACTED: The Diagnosis of Tool Wear Based on RBF Neural Networks and D-S Evidence Theory (Retracted Article)

被引：0

作者：

Cao, Weiqing ^{[1
]}

Fu, Pan ^{[1
]}

Li, Weilin ^{[1
]}

机构：

[1] Southwest Jiaotong Univ, Sch Mech Engn, Chengdu, Peoples R China

来源：

PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 7 | 2010年

关键词：

wear diagnosis; RBF neural network; D-S evidence theory;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In view of uncertain factors in the machining process, the paper puts forward a two-level information fusion method based on RBF neural network and D-S evidence theory. Three different signals were used to train and test three RBF neural networks and the outputs of three RBF networks were aggregated using the D-S evidence theory. Experiments show that the combination of RBF neural network and D-S evidence theory can improve the efficiency and accuracy of the tool wear fault diagnosis.

引用

页码：409 / 411

页数：3

共 50 条

[21] Fusion Recognition of Shearer Coal-Rock Cutting State Based on Improved RBF Neural Network and D-S Evidence Theory
Si, Lei
Wang, Zhong-Bin
Jiang, Gan
IEEE ACCESS, 2019, 7 : 122106 - 122121
[22] Multisensor information fusion based on D-S evidence theory and BP neural network
2013, Trans Tech Publications Ltd (567) : 113 - 117
[23] Research on Data Fusion Fault Diagnosis Method Based on D-S Evidence Theory
Wu Shengqiang
Jiang Wanlu
2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I, 2009, : 689 - 692
[24] Reliability Assessment Based on D-S Evidence Theory
Sun, Yongquan
Guo, Jianying
PROCEEDINGS OF 2009 8TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY, VOLS I AND II: HIGHLY RELIABLE, EASY TO MAINTAIN AND READY TO SUPPORT, 2009, : 411 - 414
[25] The Ship Discrimination Based on D-S Evidence Theory
Lu Fei
Wang Wenguang
Xing Kongque
Lin Xiaoxia
PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 1896 - +
[26] Power system fault diagnosis based on Petri net and D-S evidence theory
Liu, Meiqin, 1600, Huazhong University of Science and Technology (42): : 88 - 92
[27] The Fault Recognition of Motor Based on the Fusion of Neural Network and D-S Evidence Theory
Du, Hai-lian
Wang, Zhan-feng
Lv, Feng
Xin, Tao
MECHATRONICS AND APPLIED MECHANICS, PTS 1 AND 2, 2012, 157-158 : 861 - +
[28] Synthesized fault diagnosis method based on fuzzy logic and D-S evidence theory
Yang, Guang
Wu, Xiaoping
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2007, 4682 : 1024 - 1031
[29] HVAC Fan Mechinery Fault Diagnosis Based on ANN and D-S Evidence Theory
Li Xuemei
Ding Lixing
Li Yan
Xu Gang
Li Jibin
2009 IITA INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS ENGINEERING, PROCEEDINGS, 2009, : 603 - +
[30] Environmental Control Decision Method for Livestock and Poultry House Based on Neural Networks and Improved D-S Evidence Theory
Zhang, Shang
You, Guodong
Wu, Jinhui
Yi, Ying
2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020), 2020, : 1667 - 1671

← 1 2 3 4 5 →