ESTIMATING REMAINING USEFUL LIFE USING GENETIC PROGRAMMING

摘要

A method for estimating a remaining useful life of a system includes monitoring sensor data from sensors deployed within a system (S21). A plurality of features are extracted from the sensor data (S22). Tree graphs are generated including mathematical operators and features as nodes and a advanced feature is produced from each of the tree graphs by transforming the tree graphs into equations (S23). A recursive operation including analyzing a fitness of each of the advanced features (S24), performing crossover/mutation on the tree graphs (S26), producing advanced features from the altered tree graphs, and analyzing the fitness of the altered tree graphs to produce at least one final advanced feature is performed (S27). A remaining useful life of the system is calculated based on the final advanced feature (S29)