A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems

DOI10.1016/S0005-1098(01)00078-4zbMath0984.93032OpenAlexW2003837666WikidataQ127942875 ScholiaQ127942875MaRDI QIDQ5947651

Erik Frisk, Mattias Nyberg

Publication date: 14 May 2002

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(01)00078-4

zbMATH Keywords

explicit solutionsfault diagnosis systemsresidual generators

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Design techniques (robust design, computer-aided design, etc.) (93B51)

Related Items (13)

Robust estimator design for switched systems with unknown switching time: an LMI-based approach ⋮ Robust residual generation for diagnosis including a reference model for residual behavior ⋮ New class of FD filters in presence of disturbances ⋮ Computation of the nearest non-prime polynomial matrix: structured low-rank approximation approach ⋮ Validation of simulation models without knowledge of parameters using differential algebra ⋮ Multimode diagnosis for switched affine systems with noisy measurement ⋮ A method for quantitative fault diagnosability analysis of stochastic linear descriptor models ⋮ A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems ⋮ New nonlinear residual feedback observer for fault diagnosis in nonlinear systems ⋮ An improved Toeplitz algorithm for polynomial matrix null-space computation ⋮ Lowering orders of derivatives in nonlinear residual generation using realization theory ⋮ Fault diagnosis/fault-tolerant control: a survey of results for linear systems over frequency region in presence of disturbances ⋮ Criterions for detectability and strong detectability of faults in linear systems

Uses Software

• PolyX

Cites Work

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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
• A characterization of parity space and its application to robust fault detection
• Failure detection and identification
• A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems

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