Title :
Quality inspection of machines using the LVQ
Author :
Wang, Bingchen ; Omatu, Sigeru
Author_Institution :
Graduate Sch. of Eng., Osaka Prefecture Univ., Japan
Abstract :
We propose a method to test the quality of machines by using learning vector quantization (LVQ). We extract the characteristic spectrum from acoustic data, and apply it to train a neural network. Then we use the trained neural network to test the other acoustic data. The experimental results show that the proposed method is able to perform the intelligent testing of machines successfully.
Keywords :
acoustic emission testing; acoustic signal processing; condition monitoring; feature extraction; neural nets; pattern classification; signal classification; unsupervised learning; vector quantisation; acoustic data; characteristic spectrum; intelligent testing; learning vector quantisation; neural network; neuro-classifier; quality inspection; Acoustic testing; Auditory system; Cities and towns; Inspection; Machine intelligence; Microphones; Ovens; Production facilities; Signal processing; Tires;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195720
