| 面向产品质量的优先级传感器故障监控策略 |
| |
| 引用本文： | 宋凯,王海清,李平,冯志刚.面向产品质量的优先级传感器故障监控策略[J].中国化学工程学报,2008,16(4):584-589. |
| |
| 作者姓名： | 宋凯 王海清 李平 冯志刚 |
| |
| 作者单位： | 1. School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China;2. Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China;3. Hebei Zhongrun Pharmaceutical Co., Ltd., Shijiazhuang 050041, China |
| |
| 基金项目： | 国家自然科学基金，浙江省自然科学基金 |
| |
| 摘 要： | To improve the detection and identification performance of the Statistical Quality Monitoring （SQM） system, a novel quality based Prioritized Sensor-Fault Detection （PSFD） methodology is proposed. Weighted by the Vp （variable importance in projection） index, which indicates the importance of the sensor variables to the quality variables, the new monitoring statistic, Qv, is developed toensure that the most vital sensor faults be detected successfully. Subsequently, the ratio between the Detectable Minimum Faulty Magnitude （DMFM） of the most important sensor and of the least important sensor is only gpmin/gpmax 〈〈 1. The Structured Residuals are designed according to the Vp index to identify and then isolate them. The theoretical findings are fully supported by simulation studies performed on the Tennessee Eastman process.
|
| 关 键 词： | partial least squares statistical quality monitoring Tennessee Eastman process |
| 收稿时间： | 2007-7-28 |
| 修稿时间： | 2007-7-28
|
Quality based prioritized sensor fault monitoring methodology |
| |
| SONG Kai,WANG Haiqing,LI Ping,FENG Zhigang.Quality based prioritized sensor fault monitoring methodology[J].Chinese Journal of Chemical Engineering,2008,16(4):584-589. |
| |
| Authors: | SONG Kai WANG Haiqing LI Ping FENG Zhigang |
| |
| Affiliation: | 1. School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China;2. Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China;3. Hebei Zhongrun Pharmaceutical Co., Ltd., Shijiazhuang 050041, China |
| |
| Abstract: | To improve the detection and identification performance of the Statistical Quality Monitoring(SQM)system,a hovel quality based Prioritized Sensor-Fault Detection(PSFD)methodology is proposed.Weighted by the Vp fvariable importance in projection)index,which indicates the importance of the sensor variables to the quality variables,the new monitoring statistic,Qv,is developed to ensure that the most vital sensor faults be detected successfully.Subsequently,the ratio between the Detectable Minimum Faulty Magnitude(DMFM)of the most important sensor and of the least important sensor iS only Vpmin/Vpmax<1.The Structured Residuals are designed according to t11e Vp index to identify and then isolate thern.The theoretical findings are fully supported by simulation studies Performed on the Tennessee Eastman process. |
| |
| Keywords: | partial least squares statistical quality monitoring Tennessee Eastman process |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《中国化学工程学报》浏览原始摘要信息 |
|
点击此处可从《中国化学工程学报》下载全文 |
|
