介绍了设备状态检修专家系统的结构,提出了一种基于模块化的神经网络的系统结构和学习算法。
This article introduces the structure of condition-based maintenance expert system, and a structure and algorithm about modular neural network is proposed.
并采用了基于可靠性理论的故障树思想对设备故障情况进行分析和判断,在设备状态检修的方式方法上采用了BP神经网络进行设备的故障状态诊断。
And based on the reliability theory, we use the fault tree to analyse and determine the equipment condition, and use BP neural network to diagnose equipment in condition-based maintenance.
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