期刊文献+

基于霍金斯指标的传感器故障重构研究

Sensor fault reconstruction approach base on Hawkins statistic
在线阅读 下载PDF
导出
摘要 在基于主元分析的传感器故障检测方法中,Hawk insT2H指标对部分传感器故障的检测优于常用的SPE指标。但目前对T2H指标的研究并不充分,尚需要对T2H指标进行故障重构能力的分析。利用几何投影的概念,研究了T2H指标的传感器故障重构问题,并得出了该指标的故障可重构条件。应用数据仿真实验验证了T2H指标的传感器故障重构计算方法的有效性。 In fault detection methods based on principal component analysis (PCA). Hawkins' TH^2 is more sensible to detect fault for partial sensors than square prediction error (SPE). Because the research on TH^2 is inefficiently,it is necessary to analyzeTH^2 s reconstructbility. Reconstruct formula is derived from geometric projection, and the reconstructbility is given accordingly. A simulated data model is used to verify TH^2 s reconstruction formula.
出处 《传感器与微系统》 CSCD 北大核心 2006年第10期86-88,共3页 Transducer and Microsystem Technologies
基金 国家自然科学基金资助项目(50276031)
关键词 主元分析 传感器 故障检测 principal component analysis(PCA) sensor fault detection
  • 相关文献

参考文献6

  • 1Ricardo D, Qin S L, Thomas F E, et al. Identification of faulty sensors using principal component analysis [J]. AIChE Journal, 1996,42(10) :2797 -2812.
  • 2王海清,蒋宁.主元空间中的故障重构方法研究[J].化工学报,2004,55(8):1291-1295. 被引量:5
  • 3WANG Hai-qing, JIANG Ning, YANG Dian-cai. Process monitoring in principal component subspace: part 1. fault reconstruction study[A]. Systems, Man and Cybernetics,2004 IEEE International Conference on [C]. 2004.5119 - 5124.
  • 4Jackson J E. A user's guide to principal components[M]. New York:John Wiley & Sons Inc ,2003. 39 -40.
  • 5Qin S J. Statistical process monitoring: basics and beyond[J]. Journal of Chemometries ,2003,17 (8 - 9) :480 - 502.
  • 6Jackson J E, Mudholkar G S. Control procedures for residuals associated with principal component analysis [J]. Technometrics, 1979,21 (3) :341 -349.

二级参考文献7

  • 1Dunia R, Qin S J. Subspace Approach to Multidimensional Fault Identification and Reconstruction.AIChE J.,1998,44:1813-1831
  • 2Dunia R, Qin S J. A Unified Geometric Approach to Process and Sensor Fault Identification and Reconstruction: the Unidimensional Fault Case.Computers Chem.Engng.,1998,22:927-943
  • 3Qin S J,Li W. Detection, Identification and Reconstruction of Faulty Sensors with Maximized Sensitivity.AIChE J.,1999,45:1963-1976
  • 4Valle S, Li W, Qin S J. Selection of the Number of Principal Components:the Variance of the Reconstruction Error Criterion with a Comparison to Other Methods.Ind. Eng. Chem. Res.,1999,38:4389-4401
  • 5Wang Haiqing, Song Zhihuan, Li Ping. Fault Detection Behavior and Performance Analysis of PCA-based Process Monitoring Methods.Ind. Eng. Chem. Res., 2002,41:2455-2464
  • 6ZhangJie(张杰) YangXianhui(阳宪惠).Multivariate Statistical Process Control (多元统计过程控制)[M].Beijing: Chemical Industry Press (化学工业出版社),2000..
  • 7余世明,王海清.约束冗余参数模型预测控制及其在热交换过程中的应用[J].磁流体发电情报,2004,55(3):396-401. 被引量:4

共引文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部