期刊文献+

传感器和执行器故障检测与隔离方法 被引量:2

Method of fault detection and isolation for sensors and actuators
下载PDF
导出
摘要 设计构造一种基于观测器的故障检测与定位方法,该方法对多输入多输出随机系统中传感器和执行器同时发生的故障或分别发生的故障进行检测和定位.为确定故障位置,先将原系统按传感器个数划分成若干子系统,使每个子系统与特定的传感器故障不相关而与其他传感器故障相关,再为每个子系统设计一个观测器,使其对特定的执行器故障不敏感而对其他执行器故障的敏感度最大.由此,利用观测器的信息统计量,经逻辑判别便可确定系统中传感器或执行器故障位置. A novel observer-based approach for fault detection and location is proposed to detect and locate sensor faults and/or actuator faults in a multi-input multi-output stochastic system. To find fault locations, the original system is divided into several subsystems by the number of sensors in the system; each of which is made insensitive to a specified sensor fault while sensitive to other sensor faults. Furthermore, for each subsystem, an observer is designed with the observer innovation being made insensitive to specified actuator fault while sensitive to other actuator faults. Thus, from the statistics of the observer innovation, sensor faults and/or actuator faults can be located by logic inferring.
出处 《江苏大学学报(自然科学版)》 EI CAS 北大核心 2008年第4期330-334,共5页 Journal of Jiangsu University:Natural Science Edition
基金 江苏省高校自然科学基金资助项目(06KJD510038)
关键词 故障检测 故障隔离 观测器 传感器 执行器 fault detection fault isolation observers sensor actuator
  • 相关文献

参考文献7

  • 1Park J, Rizzoni G. A new interpretation of the fault detection filter. I. Closed-form algorithm[ J]. International Journal of Control, 1994, 60:767 - 787.
  • 2Keller J Y. Fault isolation filter design for linear stochastic systems [ J J. Automatica, 1999,35 (10) : 1701 - 1706.
  • 3Qin S Joe, .Li Weihua. Detection,identification,and reconstruction of faulty sensors with maximized sensitivity [J]. AIChE J, 1999,45(9) :1963 - 1976.
  • 4Basseville M, Nikiforov I V. Detection of Abrupt Changes-Theory and Applications[ M]. Englewood Cliffs, NJ: Prentice-Hall, 1993.
  • 5Johnson R A, Wichem D. Applied Multivariate Statistical Analysis [ M ]. 4th edition. New York: Prentice Hall, 1998.
  • 6Watanabe K, Himmeblau D M. Instrument fault detection in systems with uncertainties[ J]. Int J Sys Sci, 1982,13 (12) :137 - 158.
  • 7Chen J, Patton R J. Robust Model-based Fault Diagnosis for Dynamic Systems [ M ]. America: Kluwer academic publisher, 1999.

同被引文献14

  • 1胡小平,张丽娟,王艳梅,李舟军.液体火箭发动机故障检测和诊断中数据挖掘策略的分析[J].国防科技大学学报,2005,27(3):1-5. 被引量:10
  • 2Li W H, Shah S. Structured residual vector-based approach to sensor fault detection and isolation [ J ]. Journal of Process Control,2002,12:429 - 443.
  • 3Chilin D, et al, Detection, isolation and handling of actuator faults in distributed model predictive control systems [ J ].Journal of Process Control ,2010,20 : 1059 - 1075.
  • 4ZHU F L, Cen F. Full-order observer-based actuator fault detection and reduced-order observer-based fault reconstruction for a class of uncertain nonlinear systems [ J ]. Journal of Process Control ,2010,20 : 1141 - 1149.
  • 5Horak D T. System failure isolation in dynamic systems [ J ]. AIAA,1990,13 (6).
  • 6Bickmore T, et al, A qualitative approach to systemic diagnosis of the SSME[J]. AIAA -93 -0405, 31st Aerospace Sciences Meeting, Reno, N, January 11 - 14, 1993.
  • 7Maul W, et al, Sensor selection and optimization for health assessment of aerospace systems [ J]. AIAA Infotech @ Aerospace 2007, Rohnert Park, California, May, 2007.
  • 8Ayoubi M. Fault diagnosis with dynamic neural structure and application to a turbocharger [ C ]//Proceedings of 1 st IFAC Symposium SAFEPROCESS ' 94, Espoo, Finland, 1994,2:618 - 623.
  • 9Balle P, Spreitzer K. A multi-model approach for detection and Isolation of sensor and process faults for a heat exchanger, fuzzy systems [ C ]//Proceedings of IEEE World Congress on Computational Intelligence, The 1998 IEEE International Conference on, Volume:2, 1998 : 1476 - 148.
  • 10Merrill W, et al. Integrated health monitoring and controls for rocket engines,NASA TM - 105763, 1992.

引证文献2

二级引证文献1

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