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.
As promised in the previous article, we will tell you what priority tasks for the management of regulatory and reference information we plan to implement and what economic effect Astarta plans to obtain. Priority tasks for managing the reference data…
Dear colleagues and partners! Happy New Year to you! May the new year bring good luck to all of us, open up new opportunities and prospects! We wish you the implementation of all plans, projects and new joint successes! Warmth…
A project to automate business processes for managing fixed production assets at ASTARTA enterprises has started. Astarta-Kiev is one of the largest vertically integrated agro-industrial holdings in Ukraine. Among the main activities: – Agriculture: more than 230 thousand hectares under…