Аннотация:The ability to evaluate the operation of a mechanism and identify a developing defect is an extremely important task. Not only the amount of money that the company can lose depends on this, but also the lives of people working in the enterprise. As part of this work, data of pumping units were collected, investigated and processed. K-means clustering was used to search for and analyze anomalies in the operation of the installation.
