Shop : Details
Shop
Details
Daniel Hast
Structured Design of Parametric Fault Candidates
A set-based Approach
Detection and isolation of faults in technical systems is essential to ensure safe and reliable operation. Faults might lead to dangerous operating conditions or unplanned breakdowns of processes. The overall goal of this work is to devise a set-based approach for the challenging task of fault diagnosis in nonlinear dynamical systems with particular consideration of the structured design of fault candidates, robust diagnosability and applicability in practice.
To this end a set-based framework for fault detection and isolation is employed. The design procedure focuses on the parameter space and uses sets to model uncertain and qualitative knowledge. It is shown how uncertainty can be incorporated in the design of fault candidates such that parametric faults based on qualitative and quantitative knowledge can be described. Furthermore, it is elaborated how diagnosability can be achieved by suitable design of fault candidates. To provide a proof-of-concept for a practical application, the approaches are validated with hydraulic axial-piston pumps as a non-trivial industry-scale example.
The theoretical contributions are adopted using real-world data from test bench experiments to design fault candidates for a set of qualitatively derived fault cases and to perform fault detection and isolation by employing guaranteed model invalidation. By doing so, the applicability of set-based approaches in demanding practical applications is demonstrated for the design of fault candidates as well as for fault detection and isolation.
To this end a set-based framework for fault detection and isolation is employed. The design procedure focuses on the parameter space and uses sets to model uncertain and qualitative knowledge. It is shown how uncertainty can be incorporated in the design of fault candidates such that parametric faults based on qualitative and quantitative knowledge can be described. Furthermore, it is elaborated how diagnosability can be achieved by suitable design of fault candidates. To provide a proof-of-concept for a practical application, the approaches are validated with hydraulic axial-piston pumps as a non-trivial industry-scale example.
The theoretical contributions are adopted using real-world data from test bench experiments to design fault candidates for a set of qualitatively derived fault cases and to perform fault detection and isolation by employing guaranteed model invalidation. By doing so, the applicability of set-based approaches in demanding practical applications is demonstrated for the design of fault candidates as well as for fault detection and isolation.
Schlagwörter: Fault Diagnosis; Set-based methods; Hydraulic Pumps
Contributions in Systems Theory and Automatic Control, Otto-von-Guericke-Universität Magdeburg
Herausgegeben von Otto-von-Guericke Universität Magdeburg und Institut für Automatisierungstechnik, Magdeburg
Band 8
Verfügbare Online-Dokumente zu diesem Titel
DOI 10.2370/9783844069174
Sie benötigen den Adobe Reader, um diese Dateien ansehen zu können. Hier erhalten Sie eine kleine Hilfe und Informationen, zum Download der PDF-Dateien.
Bitte beachten Sie, dass die Online-Dokumente nicht ausdruckbar und nicht editierbar sind.
Bitte beachten Sie auch weitere Informationen unter: Hilfe und Informationen.
Bitte beachten Sie auch weitere Informationen unter: Hilfe und Informationen.
| Dokument |  | Gesamtdokument | ||
| Dateiart |  | |||
| Kosten |  | 26,85 € | ||
| Aktion |  | Zahlungspflichtig kaufen und anzeigen der Datei | ||
| Aktion |  | Zahlungspflichtig kaufen und download der Datei | ||
| Dokument |  | Inhaltsverzeichnis | ||
| Dateiart | | |||
| Kosten |  | frei | ||
| Aktion |  | Anzeigen der Datei | ||
| Aktion |  | Download der Datei | ||
Benutzereinstellungen für registrierte Online-Kunden (Online-Dokumente)
Sie können hier Ihre Adressdaten ändern sowie bereits georderte Dokumente erneut aufrufen.
Benutzer
Nicht angemeldet
Export bibliographischer Daten
Shaker Verlag GmbHAm Langen Graben 15a52353 Düren
Mo. - Do. 8:00 Uhr bis 16:00 UhrFr. 8:00 Uhr bis 15:00 Uhr
Kontaktieren Sie uns. Wir helfen Ihnen gerne weiter.
