Fault detection of dynamical systems using first-order functional observers

This paper reports a new result on the fault detection of dynamical systems by employing only first-order functional observers. Indeed, we show that fault detection can be achieved by utilizing first-order functional observers. The advantages for having such simple structured observers are obvious from the economical and practical points of view as significant cost saving can be achieved. We derive existence conditions and an algorithm for the generation of residual signals to detect faults using first-order functional observers. Two numerical examples are given to illustrate the proposed fault detection scheme. In one of the examples, a two-area interconnected power system with reheat thermal turbines is considered where only a first-order functional observer is designed to detect faults in the power system.

[1]  W. Ge,et al.  Detection of faulty components via robust observation , 1988 .

[2]  Tyrone Fernando,et al.  Existence Conditions for Functional Observability From an Eigenspace Perspective , 2011, IEEE Transactions on Automatic Control.

[3]  Andreas Varga On designing least order residual generators for fault detection and isolation , 2007 .

[4]  Yi Xiong,et al.  Unknown disturbance inputs estimation based on a state functional observer design , 2003, Autom..

[5]  József Bokor,et al.  Fault detection and isolation in nonlinear systems , 2009, Annu. Rev. Control..

[6]  Steven X. Ding,et al.  Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools , 2008 .

[7]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..

[8]  Zhiguo Yuan,et al.  Improving the observer-based FDI design for efficient fault isolation , 1997 .

[9]  P. Müller,et al.  Fault detection and isolation observers , 1994 .

[10]  Tyrone Fernando,et al.  Functional Observability and the Design of Minimum Order Linear Functional Observers , 2010, IEEE Transactions on Automatic Control.

[11]  Rolf Isermann,et al.  Trends in the Application of Model Based Fault Detection and Diagnosis of Technical Processes , 1996 .

[12]  H. Trinh,et al.  On the Existence and Design of Functional Observers for Linear Systems , 2007, 2007 International Conference on Mechatronics and Automation.

[13]  H. Trinh,et al.  Functional Observers for Dynamical Systems , 2011 .

[14]  R. Patton,et al.  Robust fault detection using Luenberger-type unknown input observers-a parametric approach , 2001 .

[15]  Paul M. Frank,et al.  Analytical and Qualitative Model-based Fault Diagnosis - A Survey and Some New Results , 1996, Eur. J. Control.

[16]  Ieee Staff,et al.  2013 IEEE 8th International Conference on Industrial and Information Systems (ICIIS) , 2013 .

[17]  Jie Chen,et al.  Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.

[18]  Jie Chen,et al.  Observer-based fault detection and isolation: robustness and applications , 1997 .

[19]  P. Frank,et al.  Survey of robust residual generation and evaluation methods in observer-based fault detection systems , 1997 .

[20]  Guang-Ren Duan,et al.  Robust fault detection using Luenberger-type unknown input observers-a parametric approach , 2001, Int. J. Syst. Sci..

[21]  Kit Po Wong,et al.  Quasi-Decentralized Functional Observers for the LFC of Interconnected Power Systems , 2013, IEEE Transactions on Power Systems.