Automatica (Journal of IFAC)
Fault detection via factorization approach
Systems & Control Letters
Automatica (Journal of IFAC)
Innovations generation in the presence of unknown inputs: application to robust failure detection
Automatica (Journal of IFAC)
Lowering orders of derivatives in non-linear residual generation using realization theory
Automatica (Journal of IFAC)
Robust residual generation for diagnosis including a reference model for residual behavior
Automatica (Journal of IFAC)
A method for quantitative fault diagnosability analysis of stochastic linear descriptor models
Automatica (Journal of IFAC)
Hi-index | 22.15 |
A fundamental part of a fault diagnosis system is the residual generator. Here a new method, the minimal polynomial basis approach, for design of residual generators for linear systems, is presented. The residual generation problem is transformed into a problem of finding polynomial bases for null-spaces of polynomial matrices. This is a standard problem in established linear systems theory, which means that numerically efficient computational tools are generally available. It is shown that the minimal polynomial basis approach can find all possible residual generators and explicitly those of minimal order.