舰船机电系统使用故障数据分析研究

舰船机电系统在使用维修过程中所记录的故障数据通常质量不高,信息记录不完整、不准确。针对这类不完备数据,利用图示法给出了故障趋势的判定。在此基础上,分别利用齐次泊松过程、非齐次泊松过程和几何过程,对装备的历史故障数据进行了分析。结果表明,几何过程产生的拟合误差最小,并据此预测了装备的未来故障强度。

Analysis and Research on Failure Data of Warship Electromechanical System

The fault data of ship mechanical system are usually not well recorded during operation and maintenance activities, and are typically incomplete and inaccurate. For such imperfect data, fault trends are justified by graphical representation. Moreover, history fault data are analyzed using homogeneous Poisson process, non- homogeneous Passion process and geometric process, respectively. Numerical results show that the accuracy of geometric process is the best, and it is used to predict future fault intensity.