| 基于神经网络及专家系统的混合诊断法 |
| |
| 引用本文： | 刘占生,武新华,张新江.基于神经网络及专家系统的混合诊断法[J].航空动力学报,1998,13(3):320-323,350. |
| |
| 作者姓名： | 刘占生 武新华 张新江 |
| |
| 作者单位： | 哈尔滨工业大学 |
| |
| 摘 要： | 本文将神经网络与人工智能专家系统结合起来，利用神经网络的联想记忆能力对发生过的故障进行直接记忆和联想。利用专家系统的反向推理能力对联想产生的侯选故障进行验证。据此原理开发了一种更接近人类思维过程的诊断系统。
|
| 关 键 词： | 神经网络 专家系统 故障诊断 |
| 收稿时间： | 2/1/1997 12:00:00 AM |
| 修稿时间： | 2/1/1998 12:00:00 AM |
A NEW FAULT DIAGNOSIS METHOD BASED ON NEURAL NETWORKS AND EXPERT SYSTEM |
| |
| Liu Zhansheng,Wu Xin hua and Zhang Xinjiang.A NEW FAULT DIAGNOSIS METHOD BASED ON NEURAL NETWORKS AND EXPERT SYSTEM[J].Journal of Aerospace Power,1998,13(3):320-323,350. |
| |
| Authors: | Liu Zhansheng Wu Xin hua and Zhang Xinjiang |
| |
| Institution: | Harbin Institute of Technology,Harbin 150001;Harbin Institute of Technology,Harbin 150001;Harbin Institute of Technology,Harbin 150001 |
| |
| Abstract: | In order to diagnose the faults in trubomachinery,a new type of diagnosis system based on Expert System(ES)and Neural Network(NN) is proposed.The NN diagnosis system is used to remember directly and associate faults happened before.The NN diagnosis system gives a set of candidate faults.The back reasoning mechanism of the expert system is applied to verifying these candidate faults.This diagnosis method is proved to be reliable and superior to the traditional ones. |
| |
| Keywords: | Neural network Expert system Fault diagnosis |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《航空动力学报》浏览原始摘要信息 |
| 点击此处可从《航空动力学报》下载免费的PDF全文 |
