Graph dynamic autoencoder for fault detection

•A novel dynamic method called graph dynamic autoencoder for fault detection is proposed.•The use of graph convolution avoids the dimensionality increase problem of classic dynamic methods.•A weighted adjacency matrix is designed to adaptively assign weights to the temporal samples.•Experiments are carried out to demonstrate the effectiveness and merits.