Dynamic Component Behavior on the Shaker Test Bench

Time- and data-intensive investigation of dynamic load limits

A shaker table is a technical testing device used to investigate the influence of vibrations on components or machines. As an exemplary example, a shaker table test stand of the company Ake-technologies is shown on the left.

Shakers can be used to test the component behavior under dynamic loads in order to obtain information about its fatigue strength limits and load limits. However, such a test procedure takes a lot of time. A long-term measurement with a suitable measuring and analysis system is essential for determining the causes and the exact time of the occurrence of damage.

The Right Timing

Challenges on shaker tables

The real challenge of long-term measurements with shaker table test benches is the processing of the large amounts of data that occur during long-term measurements. On the one hand, data should be easy to process for rapid detection of failures. On the other hand, the data set must have a high resolution for the analysis of vibration modes and deformations caused by the dynamic load. Triggered storage, i.e. event-based storage, is only recommended if the trigger threshold is known. Otherwise, a compromise must be made between the amount of data and the resolution.

Measurement and Analysis Technology for Uncompromising Testing

Our solution for shaker tables

An all-in-one monitoring system in conjunction with an analysis software that solves this actual contradiction between accuracy and speed of the data analysis. With the AD4Pro input module, accelerometers and strain gauges can be read directly without additional electronics.

Our system solutions in combination with the analysis software IFTA TrendViewer enable a very easy handling of large amounts of data, which are generated during long-term measurements on vibration table test benches. Based on the continuous storage, measurements over long periods of time are possible without any problems. Compact overview files allow fast searching for events and thus efficient working.