Аннотация: The article discusses a system for processing and monitoring diagnostic information using deep neural networks. Collection and preliminary analysis using control sensors and the method of analyzing vibration signals with the preparation of a training sample. Presentation of information in the form of an indicative space for the classification of malfunctions of rotary equipment. It also provides for the introduction of a developed neural network classifier for recognizing defects in technical equipment.
Ключевые слова: vibration diagnostics, monitoring and classification system, training sample, machine learning, deep neural networks, neural network classifier, Technical equipment, processing and analysis of diagnostic information, expert system, IoT.