摘要
本型文针对非线性电阻网络,提出了一种规范式分段线性化求所有解,并采用BPNN对非线性电阻网络硬故障进行诊断的方法,克服了用一般方法对非线性电阻网络故障诊断时易存在的漏诊问题。
The paper presents the method of canonical piece-wise Lineavization which can offer all the multi-solutions in the nonlinear resistive network,with the Backward-propagation Neural Network(BPNN) for hard fault diagnosis of the nonlinear resistive network.Compared with the general methods,the proposed one can solve the problem of fault missing location in the nonlinear resistance network.
出处
《长沙医学院学报》
2007年第1期39-41,共3页
Journal of Changsha Medical University
关键词
非线性电阻网络
硬故障
故障诊断
BP神经网络
规范式分段线性化
nonlinear resistance network
hard fault
fault diagnosis
BP Neural networks
cononical piece-wise linearization
