The dedicated observer approach to instrument failure detection

Clark, Robert N.

doi:10.1109/cdc.1979.270170

Cited by 45 publications

(11 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The idea is to run a bank of filters, each one using only one output. This is called an dedicated observer in Clark (1979). The observer outputs are then compared and by a simple voting strategy faulty sensors are detected.…”

Section: A2 Unknown Noise Levelmentioning

confidence: 99%

Adaptive Filtering and Change Detection

Gustafsson¹

2001

602

699

View full text Add to dashboard Cite

Section: A2 Unknown Noise Levelmentioning

confidence: 99%

Adaptive Filtering and Change Detection

Gustafsson¹

2001

602

699

View full text Add to dashboard Cite

“…whereQ 11 (s);Q 12 (s);Q 21 (s);Q 22 (s) represent the transfer matrices betweenẽ(s);f(s);ỹ(s), andũ(s) with dimensions being m × m; m × p; m × m; and m × p, respectively. Through the transformation by component group matrix P, the circuit formulation is converted in the transformed CCM model in Equation (10) as shown in Figure 3.…”

Section: Grouping-robust Estimation For Component Variation Ratementioning

confidence: 99%

“…The concept of the observer-based FDI had ÿrst been proposed by Beard [10], followed by Clark [11], Gertler [12], Patton et al [13] and Frank [14]. For the robust FDI (RFDI), Frank and Keller [15], and Watanabe and Himmelblau [16] have proposed active methods that design observers to generate robust residuals; and Emami-Naeini et al [17] have suggested a passive method that uses threshold selectors to improve the robustness of the FDI.…”

Section: Introductionmentioning

confidence: 99%

Frequency‐domain grouping robust fault diagnosis for analog circuits with uncertainties

Chang

2001

Circuit Theory & Apps

View full text Add to dashboard Cite

SUMMARYA new frequency-domain grouping robust fault diagnosis (GRFD) scheme, based on the design for both grouping-robust estimation=evaluation of component variation rate and Boolean-based decision process, is proposed for solving fault diagnosis of large-scale analog circuits with uncertainties, including both component tolerances and measurement errors. In this scheme, ÿrst, grouping-robust estimators for one partitioning of all component groups, designed by using grouping-full-column rank output measurement technique, are employed to estimate the component variation rate. Secondly, based on the faulty possibility judgment policy suggested in this research, grouping-robust evaluators are employed for the careful evaluation of component variation rate in order to reduce the e ect of both component tolerances and measurement errors on the diagnostic test result for one partitioning. Next, both repeating the same one-partitioning GRFD for a variety of partitionings and combining Boolean-based decision process, an overall GRFD scheme is proposed for achieving analog fault diagnosis. Finally, a fault diagnosis example of a large-scale analog circuit is illustrated. The results indicate that without any a priori information about the type of component failure, a precise t-diagnosable case for a large-scale circuit with component tolerances and measurement errors is accomplished at the lowest measurement cost.

show abstract

“…Different observer structures can be found in the fault detection literature, e.g. the dedicated observer scheme (DOS), see [13] or the generalized observer scheme (GOS), see [3], [6]. The dedicated observer is constructed such that each residual is only sensitive to one fault compared to the generalized observer where each residual is sensitive to all faults except one.…”

Section: A Fault Detectionmentioning

confidence: 99%

Robust time-varying thresholds for supervision of valves in a flotation process

Bask

Johansson

2004

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)

View full text Add to dashboard Cite

Abstract-Robust thresholds for observer-based residuals are developed for the purpose of detecting clogging in the valves of a flotation process. The observer in the residual generator is a linear model of the flotation process extended with integrators and corrected with a linear feedback term. The integral states in the observer constitute the residual. Contribution to the residual comes not only from the faults but also from uncertainties in measurements, estimates and working point. To avoid false alarms generated by these uncertainties, robust time-varying thresholds depending on the uncertainties are derived.Experiments on a froth flotation process with four cascade coupled tanks are carried out successfully. The data was provided by Boliden Area Concentrator in Boliden, Sweden.

show abstract

The dedicated observer approach to instrument failure detection

Cited by 45 publications

References 0 publications

Adaptive Filtering and Change Detection

Adaptive Filtering and Change Detection

Frequency‐domain grouping robust fault diagnosis for analog circuits with uncertainties

Robust time-varying thresholds for supervision of valves in a flotation process

Contact Info

Product

Resources

About