Least squares smoothed k-nearest neighbors online prediction of the remaining useful life of a NASA turbofan

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DOI:10.1016/j.ymssp.2023.110154
作者：Luca Viale,&nbsp;Alessandro Paolo Daga,&nbsp;Alessandro Fasana,&nbsp;Luigi Garibaldi
文献类型：期刊论文
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Elsevier

Abstract：An accurate prediction of the Remaining Useful Life (RUL) of aircraft engines plays a fundamental role in the aerospace field since it is both mission and safety critical. In fact, a reliabl

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