System and method for anomaly detection

A system, comprising:

• a processing circuit;
• and
• a memory, connected to the processing circuit, the memory storing instructions that, when executed by the processing circuit, cause the processing circuit to perform a method, the method comprising:
• converting a plurality of received time-domain signals to a plurality of latent vectors with an encoder neural network;
• converting the plurality of latent vectors to random vectors with a temporal neural network and sampling operation;
• converting the plurality of latent vectors to a connectivity representation with a spatial neural network and sampling operation;
• merging the latent vectors and the connectivity representation;
• and
• transmitting a determination of whether the received time-domain signals are normal, based on the latent vectors and the connectivity representation.

A computer-readable medium storing instructions that, when executed by a processing circuit, cause the processing circuit to perform a method, the method comprising:

• converting a plurality of received time-domain signals to a plurality of latent vectors with an encoder neural network;
• converting the plurality of latent vectors to random vectors with a temporal neural network and sampling operation;
• converting the plurality of latent vectors to a connectivity representation with a spatial neural network and sampling operation;
• merging the latent vectors and the connectivity representation;
• and
• transmitting a determination of whether the received time-domain signals are normal, based on the latent vectors and the connectivity representation.