Creator:
Bradatsch, Thomson ; Gühmann, Clemens ; Röpke, Karsten ; Schneider, Cristian ; Filbert, Dieter
Contributor:
Korbicz, Józef - red. ; Cempel, Czesław - red.
Title:
Analytical redundancy methods for diagnosing electric motors
Subtitle:
Analytical and Knowledge-Based Redundancy in Fault Detection and Diagnosis
Group publication title:
Subject and Keywords:
sterowanie ; sterowanie-teoria ; sztuczna inteligencja ; matematyka stosowana ; informatyka
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.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Date:
Resource Type:
Pages:
Source:
AMCS, volume 3, number 3 (1993) ; click here to follow the link