Memristor-based neural network for dual-channel and temporal order memory with application in fault detection

Most memristive circuits only consider single-channel memory, but dual-channel memory and temporal order memory are ignored. In this paper, a memristor-based circuit is proposed, which can realize dual-channel memory and temporal order memory. The designed circuit includes dual-channel memory module, temporal order memory module, feedback module and recollection module. Based on the three-level processing model of memory information, the processes of memory formation under single-channel and dual-channel are simulated separately. In addition, temporal order memory is simulated and the effect of time interval between stimuli on temporal order judgement is also taken into account. The impact of contextual source variability on temporal order memory is also considered. The simulation results in PSPICE confirm the circuit's ability to implement these bionic memory functions. This offers potential insights into the advancement of brain-like intelligence in fault detection systems. The circuit's potential application in industrial fault detection is certificated, where it can recognize patterns and detect anomalies in sensor data.