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To achieve the safe, reliable autonomous operation of spacecraft, research on the fault
diagnosis of control systems has attracted the attention of engineers and academicians …

Analyzing fault diagnosability performance for a given model, before developing a diagnosis
algorithm, can be used to answer questions like “How difficult is it to detect a fault fi?” or …

This article presents a novel perspective along with a scalable methodology to design a fault
detection and isolation (FDI) filter for high dimensional nonlinear systems. Previous …

Structural methods have previously been used to perform isolability analysis and finding
testable sub-models, so called Minimal Structurally Overdetermined (MSO) sets, Analytical …

The complexity and multi-domain nature of petrochemical (PC) plants make the application
of conventional model-based fault detection and isolation (FDI) techniques a challenging …

This paper addresses the problem of assessing the diagnosability of hybrid systems
modeled by a hybrid automaton coupling methods from the continuous and the discrete …

This paper considers the problem of selecting a set of residual generators for inclusion in a
model-based diagnosis system, while fulfilling fault isolability requirements and minimizing …

This paper focuses on residual generation for model-based fault diagnosis. Specifically, a
methodology to derive residual generators when nonlinear equations are present in the …

Finding the cheapest, or smallest, set of sensors such that a specified level of diagnosis
performance is maintained is important to decrease cost while controlling performance …