In production, on-line monitoring, off-line diagnosis and field maintenance should be considered as part of all-round quality control measures.
要把生产的在线监测、离线诊断和现场维护及检修作为设备全面质量管理的内容之一。
In this paper, the application of neural network is presented in the control system fault diagnosis. The method of on-line and off-line fault diagnosis are given.
本文介绍了神经元网络在控制系统故障诊断中的应用,讨论了神经元网络用于控制系统故障的离线诊断与在线诊断。
The diagnosis system is able to collect fault data on-line and analyse the fault off-line, which achieves classification of turbine shafting vibration fault and detect early slight fault.
该系统能够在线采集故障数据,并进行离线的故障分析,实现了汽轮机组轴系振动故障的分类和发现早期轻微故障的目的。
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