Publisher Correction: The intelligent fault identification method based on multi-source information fusion and deep learning

被引：0
|
作者：
Dashu Guo [1 ]
Xiaoshuang Yang [1 ]
Peng Peng [2 ]
Lei Zhu [3 ]
Handong He [1 ]
机构：
[1] Anhui Agricultural University,School of Resources and Environment
[2] Geological Survey of Anhui Province (Anhui Institute of Geological Sciences),School of Economics and Management
[3] Beihang University,Engineering and Technology Research Center of Intelligent Manufacture and Efficient Utilization of Green Phosphorus Fertilizer of Anhui Province, College of Resources and Environment
[4] Anhui Province Key Lab of Farmland Ecological Conservation and Pollution Prevention,undefined
[5] Anhui Agricultural Univer-Sity,undefined
来源：
Scientific Reports | / 15卷 / 1期
关键词：
D O I：
10.1038/s41598-025-99035-3
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets
    Han, Dongying
    Zhang, Yu
    Yu, Yue
    Tian, Jinghui
    Shi, Peiming
    APPLIED SOFT COMPUTING, 2024, 154
  • [22] Research of Power Grid Fault Diagnosis and Intelligent Analysis Method Based on Multi-Source Information
    Wu, Qingquan
    Huang, Le
    Deng, Houbing
    PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MECHATRONICS, COMPUTER AND EDUCATION INFORMATIONIZATION (MCEI 2016), 2016, 130 : 303 - 309
  • [23] Rolling Bearing Fault Diagnosis Based on Multi-source Information Fusion
    Zhu, Jing
    Deng, Aidong
    Xing, Lili
    Li, Ou
    JOURNAL OF FAILURE ANALYSIS AND PREVENTION, 2024, 24 (03) : 1470 - 1482
  • [24] Fault Diagnosis of Brake Train based on Multi-Source Information Fusion
    Jin, Yongze
    Xie, Guo
    Hei, Xinhong
    Duan, Haitao
    Chen, Wenbin
    Ma, Jialin
    Zang, Qianbo
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 2934 - 2938
  • [25] Intelligent Monitoring Method for Gear Grinding Machine Spindle Based on Multi-source Information Fusion
    Zhang, Guozhen
    Kou, Zhida
    Zhang, Cheng
    Zhang, Yingfeng
    INTELLIGENT NETWORKED THINGS, CINT 2024, PT II, 2024, 2139 : 114 - 122
  • [26] Fault diagnosis using multi-source information fusion
    Fan, Xianfeng
    Zuo, Ming J.
    2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2006, : 275 - 280
  • [27] Ensemble Learning for Multi-source Information Fusion
    Beyer, Joerg
    Heesche, Kai
    Hauptmann, Werner
    Otte, Clemens
    Kruse, Rudolf
    SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS, 2009, 5590 : 748 - +
  • [28] Fault diagnosis method of hydraulic system based on multi-source information fusion and fractal dimension
    Wei Wang
    Yan Li
    Yuling Song
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2021, 43
  • [29] Fault diagnosis method of hydraulic system based on multi-source information fusion and fractal dimension
    Wang, Wei
    Li, Yan
    Song, Yuling
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2021, 43 (12)
  • [30] Single-Ended Fault Location Method Based on Multi-Source Transient Information Fusion
    Deng F.
    Xu F.
    Zeng Z.
    Zhang Z.
    Feng S.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2022, 37 (13): : 3201 - 3212
12345