An intelligent system for grinding wheel condition monitoring

The neural network and fuzzy logic are used to classify the condition of the grinding wheel cutting abilities for the external cylindrical grinding process. For each measuring signal a few statistical and spectral features are calculated and used as an input for data selection and classification procedures. First, a feed forward back propagation neural network was implemented to perform feature selection task from the multiple sensor system. Next, a neural network based fuzzy logic decision system for sensor integration in grinding wheel condition monitoring is discussed.