摘要
介绍了利用振动、压力、流量检测传感器在线获取破碎机水下运行状态信息,提取三种信号的不同特征参数,采用神经网络进行故障识别的水下破碎机智能化故障诊断系统。
<abstract>e information of running situation of underwater crusher is obtained on line by means of vibration, pressure, flow sensor, the difference natural parameters from the three kinds of signal are extracted, the faults can be recognized based on nervous network.
出处
《矿山机械》
北大核心
2004年第4期25-26,共2页
Mining & Processing Equipment