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.
Maintenance and repair (MRO) affects many production and management departments of the enterprise. Therefore, in the planning process, attention should be paid to the comprehensive coordination of their activities. The first steps in this direction involve the creation of a…
Optimizing energy consumption is always an effective method of reducing costs. The efficiency of which is greatly enhanced by the use of Industry 4.0 technologies. Information systems that combine manufacturing assets, controls, and analytics into a single ecosystem enable enterprises…
Digital Twin is a technology that allows you to create a virtual duplicate of physical assets and processes. The copy is used to collect data throughout the entire life cycle. Therefore, it contains comprehensive information about the characteristics of the…