Name
Abstract | ||
|---|---|---|
It is commonly accepted that the requirements for maintenance and diagnosis should be considered at the earliest stages of design. For this reason, methods for analyzing the diagnosability of a system and determining which sensors are needed to achieve the desired degree of diagnosability are highly valued. This paper clarifies the different diagnosability properties of a system and proposes a model-based method for: 1) assessing the level of discriminability of a system, i.e., given a set of sensors, the number of faults that can be discriminated, and its degree of diagnosability, i.e., the discriminability level related to the total number of anticipated faults; and 2) characterizing and determining the minimal additional sensors that guarantee a specified degree of diagnosability. The method takes advantage of the concept of component-supported analytical redundancy relation, which considers recent results crossing over the fault detection and isolation and diagnosis communities. It uses a model of the system to analyze in an exhaustive manner the analytical redundancies associated with the availability of sensors and performs from that a full diagnosability assessment. The method is applied to an industrial smart actuator that was used as a benchmark in the Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems European project |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TSMCA.2006.878984 | IEEE Transactions on Systems, Man, and Cybernetics, Part A |
Keywords | Field | DocType |
diagnosability analysis,specified degree,actuator diagnosis,different diagnosability property,total number,full diagnosability assessment,component-supported analytical redundancy relations,component-supported analytical redundancy relation,analytical redundancy,discriminability level,model-based method,diagnosis community,structural analysis,fault detection and isolation,maintenance engineering,structure analysis,sensors,graph theory | Graph theory,Control theory,Computer science,Fault detection and isolation,Industrial control system,Redundancy (engineering),Maintenance engineering,Actuator | Journal |
Volume | Issue | ISSN |
36 | 6 | 1083-4427 |
Citations | PageRank | References |
31 | 2.51 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Travé/-massuyè/s | 1 | 394 | 54.06 |
| Teresa Escobet | 2 | 170 | 19.09 |
| X. Olive | 3 | 35 | 3.98 |