Resumen
In the subject research, cluster analysis was applied to vibration signals from the aggregates of the laboratory drilling stand. This scientific research is important because, until now, this method had not been applied to the signals accompanying aggregates, although it was significant used in identifying and classifying objects. The presented scientific results can be used to optimize the operation of individual aggregates, make them more efficient, and help prevent possible emergency conditions related to the drilling equipment. Vector symptoms of aggregates as objects were investigated and proposed, objects were identified, and clusters were classified. The recognized clusters can be understood as referential for objects with the same symptoms.