基于神经网络的机械设备故障检测技术

摘要

为解决在多设备健康管理中的故障检测和信息交互问题，论文提出基于神经网络的机械设备故障检测技术，采用的自组织特征映射神经网络算法，实现对设备运行状态的故障检测。通过对实际机械设备的故障检测及仿真，验证了算法的可行性和准确性。%In order to solve the problem of failure prediction and health management information exchange ,equipment failure detection technology based on system network is presented in this paper .The self‐organizing feature map neural net‐work algorithm can be applied to determine the real‐time operational status of equipment and adapt to the system in the process of using testing requirements .The algorithm based on self‐organizing feature map neural network algorithm can de‐tection the data and achieve the equipment failure prediction ultimately .The feasibility and accuracy of these two algorithms through the actual data analysis and simulation are verified .