Distributed fault detection for large-scale interconnected systems
In: IET Control Theory & Applications (2023), in press
2023Artikel/Aufsatz in ZeitschriftOA Hybrid
ElektrotechnikFakultät für Ingenieurwissenschaften » Elektrotechnik und Informationstechnik » Automatisierungstechnik und komplexe Systeme
Damit verbunden: 1 Publikation(en)
Titel in Englisch:
Distributed fault detection for large-scale interconnected systems
Autor*in:
Zhang, Jiarui
- GND
- 134302427
- LSF ID
- 2347
- ORCID
- 0000-0002-5149-5918
- Sonstiges
- der Hochschule zugeordnete*r Autor*in
- LSF ID
- 12202
- ORCID
- 0000-0002-6387-6013
- Sonstiges
- der Hochschule zugeordnete*r Autor*in
korrespondierende*r Autor*in
Erscheinungsjahr:
2023
Open Access?:
OA Hybrid
Web of Science ID
Scopus ID
Notiz:
in press
Sprache des Textes:
Englisch
Schlagwort, Thema:
distributed algorithms ; fault diagnosis
Abstract in Englisch:
The main objective of this paper is to develop a distributed fault detection (FD) approach for large-scale interconnected systems using sensor networks. Specifically, the one-step prediction based on the measured data is implemented in a distributed fashion so that each node can receive corresponding estimations and innovation sequences in a real-time manner. Then the innovation sequences are applied to improve the estimation result delivered from the one-step prediction by filtering and smoothing. After filtering and smoothing, the residual signals are calculated to detect faults. Finally, a case study shows that the distributed approach can efficiently accomplish the FD task.