Aggregation of evidence by fuzzy set operations for vibration monitoring

Author

Loskiewicz-Buczak, Anna ; Uhrig, Robert E.

Author_Institution

Dept. of Nucl. Eng., Tennessee Univ., Knoxville, TN, USA

fYear

1993

fDate

1-3 Dec 1993

Firstpage

204

Lastpage

209

Abstract

Documents work on the design of a diagnostic system, which performs evidence aggregation from many sensors in order to automate the interpretation of vibration spectra. The decision system proposed is an active system, which does not always fuse the decisions from all the sensors available. The decision module is a fuzzy system, performing the generalized mean operation. The parameters of the generalized mean are chosen by a genetic algorithm. The final decision is obtained from the aggregated decision by means of α-cuts. The method proposed is very general and can be used for any problem involving aggregation of decisions for the purpose of classification

Keywords

computerised monitoring; fuzzy logic; fuzzy set theory; genetic algorithms; sensor fusion; α-cuts; classification; decision system; diagnostic system; evidence aggregation; fuzzy set operations; genetic algorithm; vibration monitoring; vibration spectra; Computerized monitoring; Design engineering; Frequency; Fuzzy sets; Genetic algorithms; Instruments; Sensor fusion; Sensor systems; Shape; Vibration control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Fuzzy Control and Intelligent Systems, 1993., IFIS '93., Third International Conference on

Conference_Location

Houston, TX

Print_ISBN

0-7803-1485-9

Type

conf

DOI

10.1109/IFIS.1993.324187

Filename

324187