【摘要】 传统的故障诊断专家系统大多是基于知识的故障诊断系统,有一定的局限性。模糊神经网络技术的引入,给故障诊断专家系统带来了新的思路。将模糊理论与神经网络融合,利用神经网络来实现系统的模糊逻辑推理,建立了一种基于模糊系统(FS)与神经网络(NN)融合的系统故障诊断方法,并利用MATLAB中的ANFIS模糊工具来实现其模糊神经推理过程。通过对系统进行仿真,得到了比较满意的结果。实例表明,该工具用于故障诊断的模糊推理是高效可行的。更多还原

【Abstract】 Traditional fault diagnosis expert system that is mostly based on knowledge has some limitation. The technology of fuzzy neural network will bring new ideas to it. This new fault diagnosis approach which combines the fuzzy theory with neural network takes advantage of ANFIS in MATLAB to fulfill the neural-fuzzy reasoning of the system. The system is simulated with satisfactory results and ANFIS is proved to be effective for fuzzy reasoning of fault diagnosis .更多还原