基于M-DSSE和RVM的航空机电设备健康状态预测

摘要

对于一些本身结构比较复杂和精密的设备,如航空机电设备,其故障呈现出渐发性的特点,而且一旦发生故障,将会带来非常严重的后果.因此,做好设备健康状态的评估和预测,及时对设备进行检修维护,是保障设备安全稳定运行,防止安全事故发生的关键.本文以提出了基于多距离形态相似度评估(M-DSSE)以及相关向量机(EVM)的航空机电设备健康状态预测方法,实践证明,该方法得到的结果与实际情况相吻合.%For some complex and sophisticated equipment, such as aeronautical electromechanical equipment, its failure is characterized by gradual development, and once failure occurs, it will bring very serious consequences. Therefore, to do a good job of equipment health assessment and forecast, and timely maintenance and repair of equipment is the key to ensure the safe and stable operation of equipment to prevent the occurrence of security accidents. In this paper, we propose a method to forecast the health status of aeronautical electromechanical equipment based on multi-distance morphological similarity assessment (M-DSSE) and correlation vector machine (EVM). The results show that the method is consistent with the actual situation.