兵工自动化Issue(1)：32-34,3.DOI:10.7690/bgzdh.2014.01.010
基于BP神经网络的装甲车辆发动机使用状态评价
Armored Vehicle Engine Service Condition Evaluation Based on BP Neural Network
张会奇 1陈春良 2刘峻岩 1张咏清1
作者信息
- 1. 装甲兵工程学院装备试用与培训大队，北京 100072
- 2. 装甲兵工程学院技术保障工程系，北京 100072
- 折叠
摘要
Abstract
In order to forecast the service life of the armored vehicle engine synthetically, the index system of the armored vehicle engine using influence factors was established and optimized by means of the relativity analysis method, define engine service condition correction coefficient, analyzed and processed engine service state sample data, established BP neural network evaluation model, and use acquired sample data to train and test network. The results show that the method can carry out quantization evaluation armored vehicle engine service state and provide a new method for forecasting the armored vehicle engine service life.关键词
BP神经网络/装甲车辆发动机/使用状态/评价Key words
BP neural network/armored vehicle engine/using condition/evaluating分类
军事科技引用本文复制引用
张会奇,陈春良,刘峻岩,张咏清..基于BP神经网络的装甲车辆发动机使用状态评价[J].兵工自动化,2014,(1):32-34,3.
