论文部分内容阅读
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 of the more complex and sophisticated structures, such as aeronautical and electromechanical equipment, the fault appears to be gradual, and in the event of failure, it will have very serious consequences. Therefore, to do a good job of equipment health assessment and prediction, maintenance and repair equipment in a timely manner, is to protect the safe and stable operation of equipment to prevent the occurrence of security incidents. In this paper, a method to predict the state of health of aeronautic and electromechanical equipment based on M-DSSE (Multi-Distance Morphological Similarity Evaluation) and the related vector machine (EVM) is proposed. The results show that this method is in good agreement with the actual situation.