{ Real . Time Monitoring of Awj Nozzle Wear Using Artificial Neural Network
نویسندگان
چکیده
\nG ABSTRACT An abrasive waterjet nozzle wear monitoring and compensating mechanism using the frequency domain.acoustic signals geneiated by the jet exiting the nozzle, as input, is prbposed. An artificial neural network which forms the critical iart of this system is developed using the _back-propagatlon algorithm. The trained network is capable of determining the nozzle diameter corresponding to any unknown sound signal, instantaneously. The proposed system can be used for continuous monitoring of nozzle wear in real-time.
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