ADAPTIVE SYSTEM FOR PREDICTING THE RELIABILITY OF TECHNOLOGICAL EQUIPMENT OF ENERGY FACILITIES
The adaptive system for predicting the reliability of technological equipment, based on a neural network model, is developed. It consists of three subsystems - monitoring, adaptating and predicting. The developed methodology for predicting the reliability of technological equipment is a part of the EAM "Optima" software complex, which is used to manage the productive assets of energy companies.
Keywords: prediction, reliability, EAM Optima, equipment, adaptation, neural network