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.
Since 2013, the United States Air Force has lost 224 pilots and $ 12 billion to aircraft design and equipment problems. The National Military Aviation Safety Commission investigated the causes of these disruptions. Along with the psychology of the pilot…
There is a myth among production managers and ordinary workers that says: “Automation of factories will send all workers to retirement.” In this article, we’ll explain why automation doesn’t affect layoffs in any way, and how Industry 4.0 principles –…
Is it worth considering the specifics of the industry when implementing the EAM system? There is only one answer – it does not matter whether it is pharmaceuticals, or aviation or energy, the approaches to equipment maintenance are the same….