Criterions for detectability and strong detectability of faults in linear systems

DOI10.1080/00207170110121303zbMath1031.93048OpenAlexW1976873859MaRDI QIDQ3151650

Mattias Nyberg

Publication date: 16 October 2002

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207170110121303

zbMATH Keywords

fault detectabilitypolynomial framework

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Observability (93B07)

Related Items (11)

Robust residual generation for diagnosis including a reference model for residual behavior ⋮ Gap metric techniques and their application to fault detection performance analysis and fault isolation schemes ⋮ Abstractions Refinement for Hybrid Systems Diagnosability Analysis ⋮ Evaluation and design of actuator fault diagnosability for nonlinear affine uncertain systems with unknown indeterminate inputs ⋮ A method for quantitative fault diagnosability analysis of stochastic linear descriptor models ⋮ Diagnosability analysis of hybrid systems cast in a discrete-event framework ⋮ Observer-based fault detection and isolation filter design for linear time-invariant systems ⋮ Sensor selection for fault diagnosis in uncertain systems ⋮ Sensor placement for fault isolation in linear differential-algebraic systems ⋮ Fault diagnosability utilizing quasi-static and structural modelling ⋮ Isolation of parametric faults in continuous-time multivariable systems: a sampled data-based approach

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• Minimal Bases of Rational Vector Spaces, with Applications to Multivariable Linear Systems
• Analytical redundancy and the design of robust failure detection systems
• On residual generation by observer and parity space approaches
• Failure detection and identification
• A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems

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