一种基于特征数的舰船设备振动异常判断方法

摘要

It's many of consequence, such as shipping service, servicing expenditure ect, once onboard machinery happen fault. In the paper, character data are used to estimate the condition of the on-board machinery. Signal signature can't happen aberrance and leak by using the character data aberrance leak,it's also nothing to do with navigate condition. The failure can find earlier by using the character data, the machinery is maintenanced based on condition.%舰船设备一旦出现故障,将产生一系列后果,如停机损失、维修费用等,甚至造成经济与人员的重大损失.介绍了一种通过实时监测设备振动状态,利用特征数进行舰船设备振动异常判断的方法.该方法不致出现信号畸变和泄露,不受工况变化影响,可以及早发现设备早期故障,达到视情维护的目的.