利用人工神经网络理论，通过对设备振动信号采集、处理和提取特征参数的方法，对装载机机械系统工作状态进行智能监测与故障诊断。
This paper involves ANN based intelligent condition monitoring and diagnosing of loaders, focusing on signal collecting and processing as well as characteristic parameter picking up.
振动信号的趋势预测是设备状态监测与故障诊断中的一个重要内容。
The trend forecasting of vibration signals is an important content of condition monitoring and fault diagnosis.
运用设备振动监测及诊断技术，达到高炉鼓风机运行状态最佳化。
By using equipment vibration testing and diagnostics technique, the blast furnace fan work under the better status.
为了保证设备正常工作实时监测轴承的振动信号，进行故障诊断是非常重要的。
To ensure the equipment working properly, it is imperative to monitor bearing vibration signals in real-time manner and detect the faults.
当前对旋转设备进行状态监测的手段，使用比较普遍的方法主要有振动分析和油液分析。
Vibration and oil analyses are two main techniques to monitor the condition of rotary machine at present.
汽轮发电机的转子轴振动信号数据是监测设备安全运行的一项重要技术指标。
The data of shaft vibration of turbo-generator is an important techno-index to safety running.
利用油液监测和振动监测技术，分别从摩擦学和动力学两个方面采集试验设备的信息；
Utilizing the oil monitoring and vibration monitoring technologies, the tribology and dynamical data was collected from trial equipment.
MurphyEVS - 2电子振动开关用于防止设备故障，包括速度振动监测和异常振动时预警或关机。
The Electronic vibration Switch (EVS-2) protects against equipment failure by monitoring velocity-based vibration levels and providing an early warning or shutdown when abnormal vibration is detected.
振动状态监测时，传感器采集的信号是各机械设备信号和环境噪声的混合信号。
For monitoring vibration, the signals acquired from sensors are the mixture of vibration signal of machines and the environmental noise.
振动状态监测时，传感器采集的信号是各机械设备信号和环境噪声的混合信号。
For monitoring vibration, the signals acquired from sensors are the mixture of vibration signal of machines and the environmental noise.
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