Computational Intelligence Approach to Condition Monitoring: Incremental Learning and Its Application
Machine condition monitoring is gaining importance in industry due to the need to increase machine reliability and decrease the possible loss of production due to machine breakdown. Often the data available to build a condition monitoring system does not fully represent the system. It is also often common that the data becomes available in small batches over a period of time. Hence, it is important to build a system that is able to accommodate new data set as it becomes available without compromising the performance of the previously learned data. Two incremental learning algorithm are implemented, the first method uses Fuzzy ARTMAP (FAM) algorithm and the second uses Learn++ algorithm. Experimental results show that both methods can accommodate both new data and new classes.
Keywords
Support Vector Machine Condition Monitoring Incremental Learning Adaptive Resonance Theory Fuzzy ARTMAPPreview
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