Obiekt
Tytuł: Analytical redundancy methods for diagnosing electric motors
Autor:
Bradatsch, Thomson ; Gühmann, Clemens ; Röpke, Karsten ; Schneider, Cristian ; Filbert, Dieter
Data wydania:
Typ zasobu:
Współtwórca:
Korbicz, Józef (1951- ) - red. ; Cempel, Czesław - red.
Podtytuł:
Analytical and Knowledge-Based Redundancy in Fault Detection and Diagnosis
Tytuł publikacji grupowej:
Abstract:
This paper deals with two different diagnostic methods for electric motors. The diagnosis can either be used for quality control or on-line monitoring. The most important requirements are a fast and reliable detection and isolation of failures (FDI) of the whole motor. Furthermore, the measurements should be simple to make. ; These requirements cannot be fulfilled with conventional test systems, but with analytical redundancy methods based on signal and system theory. Two different model based techniques are presented: parameter estimation and a fault sensitive filter bank technique. Finally, evaluations of measurements are given.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Identyfikator zasobu:
Strony:
Źródło:
AMCS, volume 3, number 3 (1993) ; kliknij tutaj, żeby przejść
Jezyk:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Repozytorium > Jednostki organizacyjne > Wydział Informatyki, Elektrotechniki i Automatyki
- Repozytorium > Typy utworów > Artykuły
- Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS)
- Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1993)
Data ostatniej modyfikacji:
2024-11-05
Data dodania obiektu:
2020-07-07
Liczba wyświetleń treści obiektu:
115
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/repozytorium/publication/63839
Wyświetl opis w formacie RDF:
Wyświetl opis w formacie OAI-PMH:
-
International Journal of Applied Mathematics and Computer Science (AMCS)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 25 (2015)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 24 (2014)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 23 (2013)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 22 (2012)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 21 (2011)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 20 (2010)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 19 (2009)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 18 (2008)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 17 (2007)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 16 (2006)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 15 (2005)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 13 (2003)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 12 (2002)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 11 (2001)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 10 (2000)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 9 (1999)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 8 (1998)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 7 (1997)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 6 (1996)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 5 (1995)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 4 (1994)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 3 (1993)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 3, number 1 (1993)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 3, number 2 (1993)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 3, number 3 (1993)
- Preface
- A survey of robustness problems in quantitative model-based fault diagnosis
- Frequency domain approach to minimizing detectable faults in FDI systems
- Fault detection in linear discrete dynamic systems using generalized-likelihood-ratio technique
- Analytical redundancy methods for diagnosing electric motors
- Problems of computer-aided data processing in machine diagnostics and monitoring
- Noise filtering in monitoring systems
- Model-based damage detection, localization and assessment of structures the extended system identification methodology
- Theory of energy transforming systems and their application in diagnostics of operating systems
- Diagnostic inference based on predicted effective trajectory
- Recognition of faults in the diagnosing process
- Group method of data handling in technical diagnostic tasks
- Frames in diagnostic reasoning
- Knowledge-based fault detection and isolation system for power plant simulator
- An expert system for diagnostics of agricultural machines
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 3, number 4 (1993)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 3, number 1 (1993)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 2 (1992)
-
International Journal of Applied Mathematics and Computer Science (AMCS),volume 1 (1991)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
| Nazwa wydania | Data |
|---|---|
| Analytical redundancy methods for diagnosing electric motors | 2024-11-05 |
