Multi-label spacecraft electrical signal classification method based on DBN and random forest
Fig 1
The flow chart of algorithm by this article.
The process of the algorithm model consists of three parts: data acquisition using wavelet denoising, feature extraction using DNN method, and signal recognition using random forest. The flow chart of the typical test data sample and a typical standard data sample obtained from the electrical characteristics of the spacecraft are shown in the Fig.