Multisensor Fusion on Hypergraph for Fault Diagnosis
文献类型：期刊论文
| 作者 | Yan, Xunshi2,3; Shi, Zhengang2,3; Sun, Zhe2,3; Zhang CA(张陈安)1 ; Zhang CA(张陈安)
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| 刊名 | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
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| 出版日期 | 2024-05-01 |
| 页码 | 11 |
| 关键词 | graph neural network (GNN) hypergraph neural network (HGNN) information fusion multisensor fusion Fault diagnosis |
| ISSN号 | 1551-3203 |
| DOI | 10.1109/TII.2024.3393137 |
| 通讯作者 | Zhang, Chen-An(zhch_a@imech.ac.cn) |
| 英文摘要 | Multisensor information fusion techniques based on deep learning are crucial for machinery fault diagnosis. However, there are two major issues in previous research. First, the relationship between multisensor samples is disregarded, which is important to enhance the diagnostic performance. Second, the structure of the fusion algorithm becomes extremely complex with prolonged training when dealing with machinery equipped with a large number of sensors. To address the aforementioned two issues, our study proposes a new multisensor fusion mechanism that fuses multisensor information on hypergraphs, by building a single-sensor fusion hypergraph and a multisensor fusion hypergraph in the sensor space to embed the fault samples as nodes. In addition, a dual-branch hypergraph neural network is designed to compute the two hypergraphs to obtain the feature representation of the samples and diagnose faults. The algorithm is validated on two datasets for its performance. |
| 分类号 | 一类 |
| WOS关键词 | NEURAL-NETWORK |
| 资助项目 | National Science and Technology Major Project of China |
| WOS研究方向 | Automation & Control Systems ; Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001214276600001 |
| 资助机构 | National Science and Technology Major Project of China |
| 其他责任者 | Zhang, Chen-An |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/95064]  |
| 专题 | 力学研究所_高温气体动力学国家重点实验室 |
| 通讯作者 | Zhang CA(张陈安) |
| 作者单位 | 1.Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China 2.Tsinghua Univ, Key Lab Adv Reactor Engn & Safety, Minist Educ, Beijing 100084, Peoples R China; 3.Tsinghua Univ, Inst Nucl & New Energy Technol, Beijing 100084, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yan, Xunshi,Shi, Zhengang,Sun, Zhe,et al. Multisensor Fusion on Hypergraph for Fault Diagnosis[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2024:11. |
| APA | Yan, Xunshi,Shi, Zhengang,Sun, Zhe,张陈安,&Zhang CA.(2024).Multisensor Fusion on Hypergraph for Fault Diagnosis.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,11. |
| MLA | Yan, Xunshi,et al."Multisensor Fusion on Hypergraph for Fault Diagnosis".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2024):11. |
入库方式： OAI收割
来源：力学研究所
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