Online System Prognostics with Ensemble Models and Evolving Clustering

Online System Prognostics with Ensemble Models and Evolving Clustering

Blog Article

An online evolving clustering (OEC) method equivalent to ensemble modeling is proposed to tackle prognostics problems of learning and the prediction of remaining useful life (RUL).During the learning phase, OEC extracts predominant operating Washers modes as multiple evolving clusters (EC).Each EC is associated with its own Weibull distribution-inspired degradation (survivability) model that will receive incremental Waist Bags online modifications as degradation signals become available.Example case studies from machining (drilling) and automotive brake-pad wear prognostics are used to validate the effectiveness of the proposed method.