Remaining useful life prediction based on variation coefficient consistency test of a Wiener process

High-cost equipment is often reused after maintenance, and whether the information before the maintenance can be used for the Remaining Useful Life (RUL) prediction after the maintenance is directly determined by the consistency of the degradation pattern before and after the maintenance. Aiming at this problem, an RUL prediction method based on the consistency test of a Wiener process is proposed. Firstly, the parameters of the Wiener process estimated by Maximum Likelihood Estimation (MLE) are proved to be biased, and a modified unbiased estimation method is proposed and verified by derivation and simulations. Then, the h statistic is constructed according to the reciprocal of the variation coefficient of the Wiener process, and the sampling distribution is derived. Meanwhile, a universal method for the consistency test is proposed based on the sampling distribution theorem, which is verified by simulation data and classical crack degradation data. Finally, based on the consistency test of the degradation model, a weighted fusion RUL prediction method is presented for the fuel pump of an airplane, and the validity of the presented method is verified by accurate computation results of real data, which provides a theoretical and practical guidance for engineers to predict the RUL of equipment after maintenance.     

支线货运无人机的发展现状、运行方式与关键技术分析

支线货运无人机为偏远地区、山地、高原、海岛和城市快捷货运等提供了一种更经济、更高效的物资运输方式,并在应急救援和前线补给中发挥着重要作用。本文回顾了支线货运无人机的国内外发展现状,对比了支线货运无人机与有人机、陆地交通之间的竞争优势,论述了当前技术条件下支线货运无人机相对安全的运行方式——点对点管道飞行,并分析了支线货运无人机需要解决的关键技术,包括适航技术、飞行器平台技术、智能控制技术、数据链路技术、导航技术和自主起降技术等。支线货运无人机的广泛应用需要开展体系性建设工作,重视运行风险,除平台研制外,还必须关注法律法规、空域管理、飞行管理、机场设施等方面的工作。