A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing
文献类型：期刊论文
| 作者 | Dezheng Wang2; Yinglong Wang3 ; Fan Yang4; Liyang Xu5; Yinong Zhang1; Yiran Chen3; Ning Liao3
|
| 刊名 | Machine Intelligence Research
 |
| 出版日期 | 2024 |
| 卷号 | 21期号:2页码:400-410 |
| 关键词 | Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction |
| ISSN号 | 2731-538X |
| DOI | 10.1007/s11633-022-1401-9 |
| 英文摘要 | In industrial process control systems, there is overwhelming evidence corroborating the notion that economic or technical limitations result in some key variables that are very difficult to measure online. The data-driven soft sensor is an effective solution because it provides a reliable and stable online estimation of such variables. This paper employs a deep neural network with multiscale feature extraction layers to build soft sensors, which are applied to the benchmarked Tennessee-Eastman process (TEP) and a real wind farm case. The comparison of modelling results demonstrates that the multiscale feature extraction layers have the following advantages over other methods. First, the multiscale feature extraction layers significantly reduce the number of parameters compared to the other deep neural networks. Second, the multiscale feature extraction layers can powerfully extract dataset characteristics. Finally, the multiscale feature extraction layers with fully considered historical measurements can contain richer useful information and improved representation compared to traditional data-driven models. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/56046]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | 1.Smart City College, Beijing Union University, Beijing 100101, China 2.School of Automation, Southeast University, Nanjing 210096, China 3.Software and Artificial Intelligence College, Chongqing Institute of Engineering, Chongqing 400056, China 4.Beijing National Research Center for Information Science and Technology (BNRist), Department of Automation, Tsinghua University, Beijing 100084, China 5.Liangjiang International College, Chongqing University of Technology, Chongqing 401135, China |
| 推荐引用方式 GB/T 7714 | Dezheng Wang,Yinglong Wang,Fan Yang,et al. A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing[J]. Machine Intelligence Research,2024,21(2):400-410. |
| APA | Dezheng Wang.,Yinglong Wang.,Fan Yang.,Liyang Xu.,Yinong Zhang.,...&Ning Liao.(2024).A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing.Machine Intelligence Research,21(2),400-410. |
| MLA | Dezheng Wang,et al."A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing".Machine Intelligence Research 21.2(2024):400-410. |
入库方式： OAI收割
来源：自动化研究所
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