METALLURGICAL PRODUCTIONS FAULT DETECTION METHOD BASED ON RESLSTM-CNN MODEL

被引：0

作者：

Chen, Z. J. ^{[1
]}

Zhao, J. ^{[1
]}

Liu, M. A. ^{[1
]}

机构：

[1] Univ Sci & Technol Liaoning, Sch Comp Sci & Software Engn, Anshan, Peoples R China

来源：

METALURGIJA | 2023年 / 62卷 / 02期

关键词：

metallurgical production; fault; detection; bearing; method network model;

D O I：

暂无

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

Timely detection of abnormal working conditions and accurate diagnosis of abnormal working conditions are of great research significance to ensure the safe and stable operation of metallurgical production processes and to avoid losses caused by faults. In this paper, it propose a residual long and short-term memory network and convolutional neural network (RESLSTM-CNN) model for fault detection in metallurgical production processes bearing fault detection with an accuracy of 98,92 %.

引用

页码：247 / 250

页数：4

共 50 条

[1] An Adaptive Interval Forecast CNN Model for Fault Detection Method
He, Junjie
Wang, Junliang
Dai, Lu
Zhang, Jie
Bao, Jingsong
[J]. 2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2019, : 602 - 607
[2] A CNN Based Transfer Learning Method for High Impedance Fault Detection
Zhang, Yongjie
Wang, Xiaojun
Luo, Yiping
Xu, Yin
He, Jinghan
Wu, Guohong
[J]. 2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
[3] Transformer Fault Diagnosis Model Based on FI-CNN Method
Lin, Nan
Guo, Zhengwei
[J]. INTERNATIONAL CONFERENCE ON INTELLIGENT TRAFFIC SYSTEMS AND SMART CITY (ITSSC 2021), 2022, 12165
[4] A Fault Detection Method Based on CNN and Symmetrized Dot Pattern for PV Modules
Wang, Meng-Hui
Lin, Zong-Han
Lu, Shiue-Der
[J]. ENERGIES, 2022, 15 (17)
[5] CNN-Based Transformer Model for Fault Detection in Power System Networks
Thomas, Jibin B.
Chaudhari, Saurabh G.
Shihabudheen, K. V.
Verma, Nishchal K.
[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
[6] An Efficient Model Compression Method for CNN Based Object Detection
Qian, Liuchen
Fu, Yuzhuo
Liu, Ting
[J]. PROCEEDINGS OF 2018 IEEE 9TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS), 2018, : 766 - 769
[7] An On-Line Detection Method and Device of Series Arc Fault Based on Lightweight CNN
Wang, Zhiyong
Tian, Shigang
Gao, Hongxin
Han, Congxin
Guo, Fengyi
[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (10) : 9991 - 10003
[8] A novel fault detection and identification method for complex chemical processes based on OSCAE and CNN
Han, Shangbo
Yang, Lining
Duan, Dawei
Yao, Longchao
Gao, Kai
Zhang, Qingyuan
Xiao, Yanwen
Wu, Weihong
Yang, Jian
Liu, Weijie
Gao, Xiang
[J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2024, 190 : 322 - 334
[9] CNN-Based Fault Detection for Smart Manufacturing
Neupane, Dhiraj
Kim, Yunsu
Seok, Jongwon
Hong, Jungpyo
[J]. APPLIED SCIENCES-BASEL, 2021, 11 (24):
[10] Research on Software Vulnerability Detection Method Based on Improved CNN Model
Qiang, Gao
[J]. Scientific Programming, 2022, 2022

← 1 2 3 4 5 →