ISSN:
1433-3015
Schlagwort(e):
Chatter vibration
;
Chip breaking
;
Monitoring
;
Neural network
;
Tool wear
Quelle:
Springer Online Journal Archives 1860-2000
Thema:
Maschinenbau
Notizen:
Abstract Tool wear, chatter vibration, chip breaking and built-up edge are the main phenomena to be monitored in modern manufacturing processes. Much work has been carried out in the analysis and detection of these phenomena. However, most work has been mainly concerned with single, isolated detection of such phenomena. The relationships between each fault have so far received very little attention. This paper presents a neural-network-based on-line fault diagnosis scheme which monitors the level of tool wear, chatter vibration and chip breaking in a turning operation. The experimental results show that the neural network has a high prediction success rate.
Materialart:
Digitale Medien
URL:
http://dx.doi.org/10.1007/BF01179276
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