Kalman-based strategies for Fault Detection and Identification (FDI): Extensions and critical evaluation for a buffer tank system

نویسندگان

  • Kris Villez
  • Babji Srinivasan
  • Raghunathan Rengaswamy
  • Shankar Narasimhan
  • Venkat Venkatasubramanian
چکیده

This paper is concerned with the application of Kalman filter based methods for Fault Detection and Identification (FDI). The original Kalman based method, formulated for bias faults only, is extended for three more fault types, namely the actuator or sensor being stuck, sticky or drifting. To benchmark the proposed method, a nonlinear buffer tank system is simulated as well as its linearized version. This vailable online 9 March 2011

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عنوان ژورنال:
  • Computers & Chemical Engineering

دوره 35  شماره 

صفحات  -

تاریخ انتشار 2011