RETRACTED: An Autonomous Cyber-Physical Anomaly Detection System Based on Unsupervised Disentangled Representation Learning

Algorithm 1

Temporal disentangled variational autoencoder.

 #Input

 #Encoder

  Encoder

  #where φ are the encoder parameters and Z are the reduced dimension latent variables

 #Code (Latent Representation)

  Optimize the

  #where φ are the encoder parameters, x the batch data, and β the optimization weight

  Calculate empirical risk

  #where x is the temporal clustering parameter

  Temporal dependence

  #where merg is the temporal dependence function

 #Decoder

  Decoder

  #where θ are the decoder parameters and Z are the reduced dimension latent variables

 #Output

  ,