Title :
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
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;
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
DOI :
10.1109/IFIS.1993.324187
