Automatic design of logical gates for fault diagnosis in power systems through virus machines

Drawing inspiration from the mechanisms of virus transmission and replication, the virus machine is an emerging computing paradigm that is rapidly gaining traction in industrial applications. The identification of faulty components in power systems, based on alarm signals emitted by protective relays and circuit breakers, constitutes a pivotal task in fault diagnosis. In this work, we propose a general methodology for automatically designing logic gates for fault diagnosis in power systems. To achieve this, four virus machine modules are designed, including initializing, disjunctive normal form, conjunctive normal form and output. These modules simulate the initialization of logical literals, the satisfaction of each clause and the evaluation of the entire Boolean formula. This novel approach demonstrates the computational efficacy of the virus machine model and opens new avenues for advanced applications in power systems.