The invention discloses a network equipment
fault analysis method and device based on multi-dimensional characteristics, and relates to the technical field of network equipment
fault analysis, and the method comprises the steps: obtaining the
time sequence characteristic data of each network equipment in an
Internet of Things cluster during the operation of a
current time period, and forming a multi-dimensional network fault identification
data set according to the time window dimension, the network equipment dimension and the
feature dimension, carrying out encoding
processing on the network fault identification
data set by adopting a pre-trained
encoder to obtain an encoding vector, inputting the encoding vector into a pre-constructed fault prediction decoder, and carrying out fault prediction on the network fault identification
data set according to the pre-constructed fault prediction decoder. And outputting the
fault probability of each network device in the preset time period. The network equipment fault diagnosis method and device solve the technical problems that when network equipment fault diagnosis is carried out in the related technology, due to the fact that network faults have space-time variability and diversity, single-
dimension analysis cannot accurately capture the
full view of the faults, and fault diagnosis is delayed and misdiagnosed.