Search

This paper deals with methods of measuring tool wear with the help of radioactivity. A technique which is safe, fast, free of human error and very versatile. Cyclotron-induced radioactivity technique be used to irradiate the areas of the tool which on machining would wear. When the tool wear during the process of machining the residual activity is monitored by a solid state scintillation counter. This perhaps is one of the fastest methods to determine the tool wear and could be easily used for on the line monitoring. The technique has successfully been used for metal cutting operations such as turning drilling and EDM etc. [ABSTRACT FROM AUTHOR]

Abstract Rainfall prediction in this paper is a spatial interpolation problem that makes use of the daily rainfall information to predict volume of rainfall at unknown locations within area covered by existing observations. This paper proposed the use of self-organising map (SOM), backpropagation neural networks (BPNN) and fuzzy rule systems to perform rainfall spatial interpolation based on local method. The SOM is first used to separate the whole data space into some local surface automatically without any knowledge from the analyst. In each sub-surface, the complexity of the whole data space is reduced to something more homogeneous. After classification, BPNNs are then use to learn the generalization characteristics from the data within each cluster. Fuzzy rules for each cluster are then extracted. The fuzzy rule base is then used for rainfall prediction. This method is used to compare with an established method, which uses radial basis function networks and orographic effect. Results show that this method could provide similar results from the established method. However, this method has the advantage of allowing analyst to understand and interact with the model using fuzzy rules. [ABSTRACT FROM AUTHOR]