2002
DOI: 10.3182/20020721-6-es-1901.00407
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Passive Robust Fault Detection Approaches Using Interval Models

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Cited by 58 publications
(48 citation statements)
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“…Then the process follows direct estimation or numerical optimization. In another case, passive robust fault detection was presented by Puig and Quevedo [12] by bounding the uncertainties in intervals, known as 'interval model'. Process model-based fault detection was also evaluated using residual analysis [13].…”
Section: In the Modern Industry Electro-hydraulic Actuators (Ehas) Hmentioning
confidence: 99%
“…Then the process follows direct estimation or numerical optimization. In another case, passive robust fault detection was presented by Puig and Quevedo [12] by bounding the uncertainties in intervals, known as 'interval model'. Process model-based fault detection was also evaluated using residual analysis [13].…”
Section: In the Modern Industry Electro-hydraulic Actuators (Ehas) Hmentioning
confidence: 99%
“…Moreover, there might be too many disturbances to be decoupled due to the lack of freedom degrees. An alternative strategy is to consider modeling errors as unknown disturbances, and to propagate and bound their effect on the residual, using for example interval methods as in Puig et al (2002). This will be the approach followed in this paper to handle modeling uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…In the literature, there exist different types of set-theoretic FD approaches: the set-valued observer [4], the set-membership state estimation [5,6], the invariant set-based [7,8] and the interval observer-based approaches [2,3]. Regarding fault isolation (FI), interval observers (or other related techniques such as the set-membership estimation) generally turn to other FI techniques such as the fault signature matrix approach [9,10]. So far, few works have been addressed for the FI application of interval observers, especially when considering that one wants to obtain guaranteed FI once the considered actuator faults affect the system.…”
Section: Introductionmentioning
confidence: 99%