Integration of neural networks and expert systems for microscopic wear particle analysis

摘要

A loosely coupled integration of neural networks and expert systems, using simple message interaction, has been developed for the analysis of microscopic wear particles from machinery. The neural networks are used to classify particle features, whilst a knowledge based system is used for overall wear assessment (using the feature classifications). This type of integration maintains the individual strengths of neural networks and expert systems. The particle features are obtained from a computer vision system linked to the neural networks, and the wear assessment relies on a knowledge base derived from human experts. The system is adaptable, extendable, modular and fast.