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 modes as multiple evolving clusters (EC).Each Paykel OB60HDEX3 Double Built-Under Electric Oven EC is associated with its own Weibull distribution-inspired degradation (survivability) model that will receive incremental online modifications as degradation signals become available.Example case studies from machining (drilling) and automotive brake-pad wear prognostics are used to validate Quilt Set the effectiveness of the proposed method.