A Data Processing Method for Chemical Industry Based on Sensor Data and Process Monitoring
文献类型:会议论文
| 作者 | Haodong Chen; Qing He; Guan Guan; Xian Wu; Tao Xu; Yanghong Zhang; Haibing Wang |
| 出版日期 | 2016 |
| 会议名称 | The 2016 IEEE International Conference on Information and Automation(ICIA 2016) |
| 会议日期 | 2016 |
| 会议地点 | NingBo, China |
| 英文摘要 | In order to recognizing the feature of abnormality in advance and fix the possible dirty data simultaneously, this article proposed a method to construct a proper mode for a production process producing specific product, a method to estimate the stability of a linear process and a group of data cleaning rule. Both the data processing procedure and algorithm are given detailedly with some samples and mathematical derivation in this article. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/9780] ![]() |
| 专题 | 深圳先进技术研究院_南沙所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Haodong Chen,Qing He,Guan Guan,et al. A Data Processing Method for Chemical Industry Based on Sensor Data and Process Monitoring[C]. 见:The 2016 IEEE International Conference on Information and Automation(ICIA 2016). NingBo, China. 2016. |
入库方式: OAI收割
来源:深圳先进技术研究院
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