Artificial intelligence is the property of computer systems to perform creative, intellectual tasks.
Machine learning is a set of algorithms and statistical models with which computers can solve the problem without using detailed instructions, using templates and logical conclusions.
Anomaly detection – identification of rare events of elements, values that cause suspicion due to differences from most data.
Machine learning. Local outlier factor – detection of anomalies in the operation of the equipment
For complex equipment (turbines, furnaces in metallurgy) it is often necessary
control tens, hundreds and thousands of different indicators.
The method of “local emission level” can warn us about violations during the operation of equipment in the early stages.
Machine learning. LSTM Neural Networks – detection of anomalies in the parameters of operational statistics of equipment.
Methods for detecting anomalies without human intervention can determine deviations from the normal course of the production process.
For signals with a complex structure (vibration, pressure in the valves), pattern analysis is necessary. To analyze such data, LSTM neural networks are used.
OEE (Overall Equipment Effectiveness) or overall equipment efficiency is a system for analyzing the overall efficiency of equipment, designed to control and improve production efficiency and based on the measurement and processing of specific production indicators. The OEE factors include…
On October 15, under the auspices of the Kiev International Economic Forum and the Industrial Park “Belaya Tserkov”, the Forum of innovative industries will take place. The purpose of the event is the development of manufacturing enterprises in Ukraine through…
The Odeskabel plant specializes in the production of telecommunication cables. The Odessa Cable Plant has mastered and produces a wide range of copper and fiber-optic communication cables, radio frequency, as well as digital or LAN cables that are in demand…