Application of neural computation to sound analysis for valve diagnosis

Author

Arai, Kuniharu ; Shimodaira, Hidetoshi ; Sakaguchi, Yutaka ; Nakano, Kaoru

Author_Institution

Mitsubishi Kasei Corp., Yokohama, Japan

Volume

i

fYear

1991

fDate

8-14 Jul 1991

Firstpage

177

Abstract

Describes a method of compressor valve diagnosis in which a neural network was applied to analyze valve plate sound. A neural network approach to pattern recognition was considered. The system reduces the load of neural networks in function representation and function learning by using appropriate preprocessing methods, for instance the Mahalanobis generalized distance. The resulting system requires only a small-scale neural network, is capable of extracting the invariant features, and attains an extremely high recognition accuracy

Keywords

acoustic analysis; compressors; computer aided analysis; computerised pattern recognition; mechanical engineering computing; neural nets; valves; Mahalanobis generalized distance; compressor valve diagnosis; function learning; function representation; invariant features; neural network; pattern recognition; preprocessing methods; recognition accuracy; valve plate sound; Art; Artificial neural networks; Computer applications; Frequency synchronization; Neural networks; Pattern recognition; Physics; Production; Shape; Valves;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on

Conference_Location

Seattle, WA

Print_ISBN

0-7803-0164-1

Type

conf

DOI

10.1109/IJCNN.1991.155172

Filename

155172