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Distributed Fault Diagnosis of Interconnected Nonlinear Uncertain Systems
Zhang, Qi

2013, Doctor of Philosophy (PhD), Wright State University, Engineering PhD.
Fault diagnosis is crucial in achieving safe and reliable operations of interconnected control
systems. This dissertation presents a distributed fault detection and isolation (FDI)
method for interconnected nonlinear uncertain systems. The contributions of this dissertation
include the following: First, the detection and isolation problem of process faults in a
class of interconnected input-output nonlinear uncertain systems is investigated. A novel
fault detection and isolation scheme is devised, and the fault detectability and isolability
conditions are rigorously investigated, characterizing the class of faults in each subsystem
that are detectable and isolable by the proposed distributed FDI method. Second, a distributed
sensor fault FDI scheme is developed in a class of interconnected input-output
nonlinear systems where only the measurable part of state variables are directly affected by
the interconnections between subsystems. A class of multimachine power systems is used
as an application example to illustrate the effectiveness of the proposed approach. Third,
the previous results are extended to a class of interconnected input-output nonlinear systems
where both the unknown and the measurable part of system states of each subsystem
are directly affected by the interconnections between subsystems. In this case, the fault
propagation effect among subsystems directly affects the unknown part of state variables of
each subsystem. Thus, the problem considered is more challenging than what is described
above. Finally, a fault detection scheme is presented for a more general distributed nonlinear
systems. With a removal of a restrictive limitation on the system model structure,
the results described above are extended to a class of interconnected nonlinear uncertain
systems with a more general structure.

In addition, the effectiveness of the above fault diagnosis schemes is illustrated by using
simulations of interconnected inverted pendulums mounted on carts and multi-machine
power systems. Different fault scenarios are considered to verify the diagnosis performances,
and the satisfactory performances of the proposed diagnosis scheme are validated by the
good simulation results. Some interesting future research work is also discussed.
Xiaodong Zhang, Ph.D. (Committee Chair)
Kuldip Rattan, Ph.D. (Committee Member)
Raul Ordonez, Ph.D. (Committee Member)
Mark Mears, Ph.D. (Committee Member)
Zhiqiang Wu, Ph.D. (Committee Member)
177 p.

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Zhang, Q. (2013). Distributed Fault Diagnosis of Interconnected Nonlinear Uncertain Systems. (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Zhang, Qi. "Distributed Fault Diagnosis of Interconnected Nonlinear Uncertain Systems." Electronic Thesis or Dissertation. Wright State University, 2013. OhioLINK Electronic Theses and Dissertations Center. 27 Mar 2015.

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Zhang, Qi "Distributed Fault Diagnosis of Interconnected Nonlinear Uncertain Systems." Electronic Thesis or Dissertation. Wright State University, 2013. https://etd.ohiolink.edu/

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