Process operating performance assessment for magnesium melting process based on adaptive fusion of multi-source heterogeneous information

被引：0
|
作者：
Liu, Yan [1 ]
Xiong, Yulu [1 ]
Chu, Fei [2 ]
Wang, Fuli [1 ]
机构：
[1] College of Information Science & Engineering, Northeastern University, Shenyang,110819, China
[2] School of Information and Control Engineering, University of Mining and Technology, Xuzhou,221116, China
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2023年 / 44卷 / 09期
关键词：
Assessment sub-model - Attention mechanisms - Heterogeneous information - Magnesium melting process - Melting process - Multi-source heterogeneous information - Multi-Sources - Operating performance - Performance assessment - Process operating performance assessment - Submodels;
D O I：
10.19650/j.cnki.cjsi.J2311259
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：320 / 335
相关论文
共 50 条
  • [21] Bearing performance degradation assessment using adversarial fusion convolutional autoencoder based on multi-source information
    Wang, Enxiu
    Zhou, Haoxuan
    Wen, Guangrui
    Huang, Ziling
    Liu, Zimin
    Chen, Xuefeng
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 46 (05) : 992 - 1011
  • [22] A multi-source similar subparts based NC process fusion and regrouping approach
    Changhong Xu
    Shusheng Zhang
    Zhanying Feng
    Liu Zhang
    Renche Wang
    [J]. The International Journal of Advanced Manufacturing Technology, 2019, 102 : 185 - 199
  • [23] A multi-source similar subparts based NC process fusion and regrouping approach
    Xu, Changhong
    Zhang, Shusheng
    Feng, Zhanying
    Zhang, Liu
    Wang, Renche
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 102 (1-4): : 185 - 199
  • [24] Multi-source Information Fusion Based on Data Driven
    Zhang Xin
    Yang Li
    Zhang Yan
    [J]. ADVANCES IN SCIENCE AND ENGINEERING, PTS 1 AND 2, 2011, 40-41 : 121 - 126
  • [25] Multi-Source Information Fusion for Power Transformer Condition Assessment
    Cui, Yi
    Ma, Hui
    Saha, Tapan
    [J]. 2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,
  • [26] Ensemble Learning Based Multi-Source Information Fusion
    Xu, Junyi
    Li, Le
    Ji, Ming
    [J]. 2019 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE, 2019, 11321
  • [27] TLSEA: a tool for lncRNA set enrichment analysis based on multi-source heterogeneous information fusion
    Li, Jianwei
    Li, Zhiguang
    Wang, Yinfei
    Lin, Hongxin
    Wu, Baoqin
    [J]. FRONTIERS IN GENETICS, 2023, 14
  • [28] Rotor unbalance fault diagnosis using DBN based on multi-source heterogeneous information fusion
    Yan, Jihong
    Hu, Yuanyuan
    Guo, Chaozhong
    [J]. 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE MATERIALS PROCESSING AND MANUFACTURING (SMPM 2019), 2019, 35 : 1184 - 1189
  • [29] Fatigue Lifetime Assessment of Aircraft Engine Disc Based on Multi-Source Information Fusion
    Cui, Pingliang
    Zhang, Zhisheng
    Cai, Wei
    Huang, Hong-Zhong
    Li, Yan-Feng
    Wang, Haikun
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (QR2MSE), VOLS I-IV, 2013, : 1140 - 1142
  • [30] Confinement process for information retrieval from multi-source environment
    Nasir, JA
    Pasha, MA
    Shahzad, MK
    [J]. IEEE: 2005 INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES, PROCEEDINGS, 2005, : 530 - 535
12345