摘要
利用MATLAB进行故障诊断,介绍了改进的弹性BP算法,并以有杆抽油系统故障诊断为例说明神经网络结构的设计及诊断过程,诊断结果表明了该方法的有效性。
A convenient realization on MATLAB was presented in this article , an improved BP algorithm of RPROP and the creating a network is introduced ,The process of the design and diagnosis of the fault diagnosis in the neural network is explained with an example of the system of rod pumped well. The diagnostic results show that the trained network can be recognized and the method is effective and feasible.
出处
《石油矿场机械》
2006年第4期12-15,共4页
Oil Field Equipment
