| Summary: | 碩士 === 國立清華大學 === 動力機械學系 === 82 === Mass estimation has been an unsolved difficulty to Loose Parts
Monitoring System since the lack of theoretical description
and the huge scale of the reactor system which make a thorough
understanding of the characteristics of impact signal of loose
parts unreachable. Hence,analysis of the loose parts purely
rely on expert's experience and the prediction is generally
with large uncertainty .This paper apply multi-layer neural
network on mass estimation.With the noise tolerance capability
of neural network, mass estimation can be done without consult
experienced expert and this technique can be adapted easily
without changing the facility. Base on experimental study, the
mass estimation of loose parts can be obtained with the
variance of about 7%.
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