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.
Equipment – a set of units, machines, mechanisms and their components, which are arranged and controlled in such a way that they function as a whole to achieve the same goal. Categorization is the process of distributing equipment into categories…
In advanced industrialized countries, the system of organizing repair and maintenance work is called somewhat differently, namely: service system – in Europe, USA, Canada, etc .; conservation system – in Japan, South Korea and other Asian countries. There are no…
How to identify bottleneck in a manufacturing process There are several ways to find a bottleneck in production of different levels of complexity, with the use of special tools and without. Let’s start with simpler observational methods. Queues and congestion…