Fault detection for linear uncertain systems with sensor faults

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Fault detection for linear uncertain systems with sensor faults

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The study paper deals with sensor fault detection problem for a class of linear uncertain systems with bounded disturbances and non-zero constant reference inputs. The sensor faults are modelled as multi-mode, named as fault-free mode and faulty modes. A steady-state-based approach is proposed to detect the sensor faults. The steady-state-based approach can be used to detect lock-in-place sensor faults with arbitrary small magnitudes, which has not been well investigated in the literature. A convergent iterative algorithm based on linear matrix inequalities is given to obtain the solutions. A numerical example is given to illustrate the effectiveness of the proposed methods.

Inspec keywords: fault trees; sensors; linear matrix inequalities; uncertain systems; linear systems; reliability theory; fault diagnosis; iterative methods

Other keywords: fault detection problem; convergent iterative algorithm; steady-state-based approach; lock-in-place sensor faults; linear uncertain systems; linear matrix inequalities

Subjects: Linear algebra (numerical analysis); Combinatorial mathematics; Combinatorial mathematics; Reliability theory; Interpolation and function approximation (numerical analysis); Numerical analysis; Interpolation and function approximation (numerical analysis); Reliability; Linear algebra (numerical analysis); Algebra; Combinatorial mathematics; Maintenance and reliability

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