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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。
This paper introduces the intelligent fault diagnosis system of underwater crusher using neural network to detect the underwater operation state information of vibrator, pressure and flow detection sensor, extract the different characteristic parameters of the three signals.