Online System Prognostics with Ensemble Models and Evolving Clustering
نویسندگان
چکیده
An online evolving clustering (OEC) method equivalent to ensemble modeling is proposed tackle prognostics problems of learning and the prediction remaining useful life (RUL). During phase, OEC extracts predominant operating modes as multiple clusters (EC). Each EC associated with its own Weibull distribution-inspired degradation (survivability) model that will receive incremental modifications signals become available. Example case studies from machining (drilling) automotive brake-pad wear are used validate effectiveness method.
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ژورنال
عنوان ژورنال: Machines
سال: 2022
ISSN: ['2075-1702']
DOI: https://doi.org/10.3390/machines11010040