Auxiliary power unit is one of the indispensable systems for civil aviation aircraft but the traditional planned maintenance cannot meet the actual needs of airlines. In this work, the key performance parameters of the auxiliary power unit are selected by using recursive feature elimination method. With the selected parameters, the remaining useful flight cycle of the auxiliary power unit is predicted by applying particle filter techniques. Some improved algorithms such as Gaussian particle filter and auxiliary particle filter are also compared. The experimental results demonstrate that the particle filter-based method has high prediction accuracy and engineering application value.

中文翻译：

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基于粒子滤波的辅助动力装置剩余寿命预测

辅助动力装置是民航飞机不可缺少的系统之一，但传统的计划维修不能满足航空公司的实际需要。在这项工作中，辅助动力单元的关键性能参数采用递归特征消除方法进行选择。使用选定的参数，辅助动力装置的剩余有用飞行周期通过应用粒子过滤技术进行预测。还对高斯粒子滤波和辅助粒子滤波等一些改进算法进行了比较。实验结果表明，基于粒子滤波的方法具有较高的预测精度和工程应用价值。