基于动态故障树的广播电视传输设备故障状态识别OA

In order to solve the problem that the failure rate of radio and television transmission equipment continues to rise due to massive data transmission tasks,which leads to the decline of the accuracy and efficiency of equipment fault state identification,a fault state identification method of radio and television transmission equipment based on dynamic fault tree is designed.The characteristic data of radio and television transmission equipment operating conditions are obtained by wavelet packet decomposition of the vibration signal of the equipment,and the dimensionality of the obtained characteristic data is reduced by using the supervised discriminant projection manifold learning method;and the fault state identification of the radio and television transmission equipment is completed according to the characteristic data after dimensionality reduction by combining a fuzzy set with a dynamic fault tree.The experimental results show that the method has high accuracy,high efficiency and good overall recognition effect,and has high practical application value.