神经网络在采煤机故障诊断中的应用

Neural network usage in miner’s fault-diagnosis

神经网络是由大量简单的处理单元广泛连接组成的复杂网络 ,用以模拟大脑神经网络结构和行为。神经网络具有大规模并行、分布式存储和处理、联想记忆、自组织、自适应、自学习能力 ,特别适用于处理需要同时考虑许多因素和条件不精确的和模糊的信息问题。神经网络以其优良的特性被应用到工程项目各个领域 ,也在信号识别、处理和系统辨别等领域得到成功的应用 ,在机械故障诊断领域也具有诱人的前景。

Neural network, imitating the mankind brain’s structure and behavior, is made up of lots of simple treatment units connecting with each other It has following capacities: scattering storage like large scale refrigerator, connecting in memory, self orgnization, self adaption and self learning Because of these excellent characteristics, it has broad prospect in mechanical fault diagnosis and is used in project fields, message treatment and system recognizing