Transform the numerous and complex data collected into usable results. Constantly monitor any facility remotely and in real time. Understand structural aging and optimize preventive and predictive maintenance interventions.
This algorithm estimate the frequency response of the system, through which it is possible to extrapolate useful modal information. The FDD allows you to perform effective, active and prolonged monitoring over time of even a very complex structure.
Frequency Domain Decomposition
This algorithm is able to estimate the probability density of the peaks of the oscillations (maximum excursions) starting from the probability histograms. The statistical behavior of the peaks is then analyzed in order to characterize their trend over time.
This algorithm performs a fast and optimized calculation of the DFT (Discrete Fourier Transform) which allows to highlight the spectral contents of the signals detected by the sensors. It is possible to obtain characteristics and information of the signal, which are not perceptible in the time domain.
Fast Fourier Transform
This graph allows to visualize the deformation of a span during a load test in static regime. By providing multiple angular values, it is possible to reconstruct the sag using a least squares estimation algorithm.
This algorithm allows the identification of modal frequencies in a given time period. The table below the graph also summarizes the statistical indices of interest of the various frequencies of which it is also possible to observe the histograms.
With this tool you are able to visualize the deformations of the railway track both longitudinal and transverse. With the DECK you can perform ballast void detection.