摘要
针对信号设备故障的复杂性,设计了面向A g e n t的模糊算法和神经网络混合诊断策略。初步诊断采用模糊算法获得故障隶属度大的故障,精确诊断采用神经网络算法对初步诊断得到的故障计算严重程度,通过采用混合诊断方法能有效的提高诊断系统的精度。
For the complexity of the signal equipment failures,the paper design of Agent-oriented fuzzy algorithm and neural network hybrid diagnosis strategy.Initial diagnosis using fuzzy algorithm was attached to the degree of fault failure,accurate diagnosis using neural network algorithms calculate the initial diagnosis was the severity of the fault,through the use of hybrid diagnosis method can effectively improve the diagnostic accuracy of the system.
出处
《自动化与仪器仪表》
2011年第6期12-13,共2页
Automation & Instrumentation