ADAPTIVE RESONANCE NETWORK AND ITS APPLICATION IN MANUFACTURING FAULT DIAGNOSIS

TANG Ying; SUN Rong-ping; CHEN Ke-zhi

Volume 3 Issue 1

Mar. 1996

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Article Navigation > International Journal of Minerals, Metallurgy and Materials > 1996 > 3(1): 43-47

TANG Ying, SUN Rong-ping, and CHEN Ke-zhi, ADAPTIVE RESONANCE NETWORK AND ITS APPLICATION IN MANUFACTURING FAULT DIAGNOSIS, J. Univ. Sci. Technol. Beijing, 3(1996), No. 1, pp. 43-47.

Cite this article as:

TANG Ying, SUN Rong-ping, and CHEN Ke-zhi, ADAPTIVE RESONANCE NETWORK AND ITS APPLICATION IN MANUFACTURING FAULT DIAGNOSIS, J. Univ. Sci. Technol. Beijing, 3(1996), No. 1, pp. 43-47.

TANG Ying, SUN Rong-ping, and CHEN Ke-zhi, ADAPTIVE RESONANCE NETWORK AND ITS APPLICATION IN MANUFACTURING FAULT DIAGNOSIS, J. Univ. Sci. Technol. Beijing, 3(1996), No. 1, pp. 43-47.

Citation:

TANG Ying, SUN Rong-ping, and CHEN Ke-zhi, ADAPTIVE RESONANCE NETWORK AND ITS APPLICATION IN MANUFACTURING FAULT DIAGNOSIS, J. Univ. Sci. Technol. Beijing, 3(1996), No. 1, pp. 43-47.

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ADAPTIVE RESONANCE NETWORK AND ITS APPLICATION IN MANUFACTURING FAULT DIAGNOSIS

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Received: 18 September 1995

Abstract

Abstract

Compared with BP network, ART network is characterized by self-organization, adaptation and fast run speed. So it is suitable for fault diagnosis tasks in manufacturing process. Structure and mechanism of ART network are introduced in this paper, and an intelligent tool condition monitoring system based on ART network is designed, and the successful detection of micro-diameter drill state in drilling has been carried out.
- neural network;
- pattern recognition;
- diagnosis;
- cutting tool