Diagnostics of the information subsystem of an automatic process control system using artificial intelligence technologies

A method for diagnosing partial failures of the measuring-and-information channels of an automatic process control system is considered on the basis of modern artificial intelligence technologies. The algorithm proposed for correcting the results of measurements is based on the information redundancy of a technological process. The possibility of using neural network technologies, evolution optimization algorithms, and fuzzy logic elements is investigated.