设计一种风机融合神经网络故障诊断系统,以实现对相关信息的有效处理,并促进其高层融合;将一系列诊断输出值最终传输给网络样本库,从而构建一款具有自适应能力且兼具智能特点的诊断系统,不仅保证了故障诊断的及时性,还保证了最终结论的准确性,为后续的维修处理奠定了坚实的基础。 A fan fusion neural network fault diagnosis system is designed to effectively process relevant information and promote its high-level integration. Finally, a series of diagnostic output values ​​are finally transmitted to the network sample library to build a self-adaptive, The diagnostic system of intelligent features not only ensures the timely diagnosis of faults, but also ensures the accuracy of the final conclusions, laying a solid foundation for subsequent maintenance and treatment.