Methodology and Tools for Neuro-Fuzzy Prediction of the Status of Electric Drives of Gas-Compressor Units

摘要

Results of development and implementation of integrated systems for monitoring and predicting the technical condition of electric gas-compressor units are presented. Operational factors affecting the reliability of the engines with synchronous motor drive are revealed. Hardware is proposed that is based on smart sensors, and results of computer simulation of operation of electric-driven gas turbo-compressors are given.