Feature Clustering-Based Network for Industrial Process Diagnosis With Incremental Fault Types
文献类型：期刊论文
| 作者 | Xu, Xinyao1,2 ; Xu, De1,2
|
| 刊名 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
 |
| 出版日期 | 2023 |
| 卷号 | 72页码:11 |
| 关键词 | ~Catastrophic forgetting fault diagnosis feature clustering incremental learning network expansion |
| ISSN号 | 0018-9456 |
| DOI | 10.1109/TIM.2023.3302379 |
| 通讯作者 | Xu, De(de.xu@ia.ac.cn) |
| 英文摘要 | When new faults are identified in complex industrial processes, the model parameters in neural networks can be incrementally updated to adapt to new diagnosis tasks. However, the catastrophic forgetting problem inevitably decreases the diagnosis performance. Network expansion is a feasible solution for current diagnosis models. In this article, a new two-stage diagnosis model based on feature clustering and network expansion is designed to adapt to new diagnosis tasks. In the first stage, the samples of different faults are transformed into different feature clusters. In the second stage, the sample is identified by its feature similarities with different feature clusters. The model is expanded only when the existing features fail to distinguish the new faults. It expands slower than the existing models. The proposed model is verified on the Tennessee-Eastman (TE) process and the three-phase flow (TPF) facility. The results show that the proposed method outperforms 1%-5% better than other incremental fault diagnosis methods. |
| 资助项目 | National Natural Science Foundation of China[62273341] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:001053888300004 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/54146]  |
| 专题 | 中科院工业视觉智能装备工程实验室 |
| 通讯作者 | Xu, De |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Xinyao,Xu, De. Feature Clustering-Based Network for Industrial Process Diagnosis With Incremental Fault Types[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2023,72:11. |
| APA | Xu, Xinyao,&Xu, De.(2023).Feature Clustering-Based Network for Industrial Process Diagnosis With Incremental Fault Types.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,72,11. |
| MLA | Xu, Xinyao,et al."Feature Clustering-Based Network for Industrial Process Diagnosis With Incremental Fault Types".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 72(2023):11. |
入库方式： OAI收割
来源：自动化研究所
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