| Multisensor Fusion on Hypergraph for Fault Diagnosis | |
Yan, Xunshi1,2; Shi, Zhengang1,2; Sun, Zhe1,2; Zhang CA(张陈安)3
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| Corresponding Author | Zhang, Chen-An(zhch_a@imech.ac.cn) |
| Source Publication | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
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| 2024-05-01 | |
| Pages | 11 |
| ISSN | 1551-3203 |
| Abstract | 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. |
| Keyword | graph neural network (GNN) hypergraph neural network (HGNN) information fusion multisensor fusion Fault diagnosis |
| DOI | 10.1109/TII.2024.3393137 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001214276600001 |
| WOS Keyword | NEURAL-NETWORK |
| WOS Research Area | Automation & Control Systems ; Computer Science ; Engineering |
| WOS Subject | Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial |
| Funding Project | National Science and Technology Major Project of China |
| Funding Organization | National Science and Technology Major Project of China |
| Classification | 一类 |
| Ranking | 1 |
| Contributor | Zhang, Chen-An |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/95065 |
| Collection | 高温气体动力学国家重点实验室 |
| Affiliation | 1.Tsinghua Univ, Inst Nucl & New Energy Technol, Beijing 100084, Peoples R China; 2.Tsinghua Univ, Key Lab Adv Reactor Engn & Safety, Minist Educ, Beijing 100084, Peoples R China; 3.Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China |
| Recommended Citation 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.(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. |
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