Health Monitoring of Pressure Transmitter Sensing Line Based on Convolutional Neural Network
文献类型：会议论文
| 作者 | He TF(何天放)1,2,3,4; Wang K(王锴)2,3,4 ; Xu AD(徐皑冬)2,3,4; Zeng P(曾鹏)2,3,4
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| 出版日期 | 2021 |
| 会议日期 | October 27-30, 2021 |
| 会议地点 | Chengdu, China |
| 关键词 | Health monitoring Pressure transmitter Sensing line Convolutional neural network |
| 页码 | 1403-1407 |
| 英文摘要 | Blockages of pressure transmitter sensing line are a recurring problem in nuclear plants. The traditional solution is to purge them with nitrogen periodically, which is time consuming and radiation intensive. It is thus desirable to monitor the status of sensing lines on-site. The noise analysis method is a promising method for sensing line health monitoring. However, the existing noise analysis methods, which evaluate the sensing line status by analyzing time domain or frequency domain features of process noise signal, are susceptible to working conditions of pressure transmitters. Further, blockage degree of the sensing line can not be determined by existing methods. Therefore, this paper proposes a machine learning based noise analysis method for health monitoring of pressure transmitter sensing line, in which 1-D Convolutional Neural Network (CNN) is used to extract features from process noise signals. Experimental results show that the proposed method achieved satisfactory results in diagnosis accuracy, false alarm rate and robustness of the model under different working conditions. Further, blockage degree of sensing line can also be evaluated. |
| 产权排序 | 1 |
| 会议录 | The 11th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 4th International Conference on Reliability Systems Engineering (QR2MSE 2021 & ICRSE 2021)
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/30119]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | He TF(何天放) |
| 作者单位 | 1.University of Chinese Academy of Sciences Shenyang, China 2.Laboratory of Industrial Control Network and System, Shenyang Institute of Automation, Chinese Academy of Sciences 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | He TF,Wang K,Xu AD,et al. Health Monitoring of Pressure Transmitter Sensing Line Based on Convolutional Neural Network[C]. 见:. Chengdu, China. October 27-30, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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