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Remaining Useful Life (RUL) prediction plays a critical part in many battery-powered applications. Statistical filter, i.e., particle filter (PF) is widely used to predict RUL with various models as well as its uncertainty representation. However, PF commonly used suffers from the lack of poor adaption of long-term prediction and iterative prediction. This disadvantage may further reduce the RUL estimation...
Mining concept drifting data stream is a challenging area for data mining research. Recent years have witnessed an averaging ensemble classifier which is based on the learnable assumption, although this ensemble classifier is an efficient algorithm for mining concept-drifting data streams, it is still inadequate to represent real-world data streams with noisy data. In this paper, we propose a novel...
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