The phonon diagnostics method is based on the analysis of physical processes in materials and structures during their progression.

In the industry, the phonon diagnostics method plays a key role by providing continuous monitoring of equipment conditions without halting production. It uses real-time data for early detection of potential faults and prevention of accidents.

Systems integrate sensors and monitoring to analyze equipment performance using machine learning and artificial intelligence algorithms.

This method enhances reliability, improves planning and productivity, reduces maintenance and energy consumption costs, and facilitates the digitalization of production.