LV
The scope of the Center's activities is the creation, delivery and support of advanced technologies to diagnose working machines and constructions.
Read moreD un D Centrs has developed a new high resolution approach to the diagnostics of rolling bearings for sophisticated machinery.
Read moreThe term diagnostics is often understood as a set of actions aimed at detecting hidden defects ...
Read moreVibropassport provides complete monitoring of the object and diagnostics of individual units.
Read moreMain activity field of our center is in aviation, industry, transport, energy and others. D un D Centrs possesses a wide range of competences in diagnostics of complex machines and constructions. Vibration-based diagnostics technologies developed by D un D Centrs successfully adapt to the needs of aviation, transport, energy, construction and many other industries. Increasing reliability and reducing costs for our clients is a major motivation for the team of D un D Centrs.
For modern problem solving our center uses the most pioneering methods in machine operation studies.
Main types of operational defects are simulated during units complex tests
Experiments validate adequacy of our diagnostic methods
Hi-tech signal processing methods provide high efficiency of measurements and analysis
On 1 September 2024, implementation began on project 1.2.1.2.i.2/1/24/A/CFLA/003, “Improving the efficiency of ‘green’ energy facilities using
advanced vibration diagnostic methods”. The project is being carried out as part of the “Development of Innovative Products and Technologies”
project at the Energy and Transport Competence Centre.
On 1 September 2024, implementation of project 5.1.1.2.i.0/2/24/A/CFLA/002, ‘Application of predictive vibrodiagnostic technologies to reduce
the time and costs of helicopter maintenance’, commenced. The project is being carried out as part of the ‘Development of Innovative Products
and Technologies’ project at the Energy and Transport Competence Centre.
Project 5.1.1.2.i.0/1/22/A/CFLA/001, “Research into the application of predictive diagnostic technology for aircraft powerplants”, has been successfully completed.
