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SignalLAB  
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SignalLAB is a comprehensive tool for analysing signals particularly concerning testing laboratories It enables us to understand the behaviour of a product in its environment by characterizing the mechanical aspects and sound perception. It includes modules and a business acquisition module:

  • Modulus of time-frequency analysis
  • Module Chocs Module Shocks
  • Module de Personnalisation d’Essais Mécaniques Module Customization Mechanical Test
  • Module de Classification Classification Module
  • Module d'acquisition Acquisition Module
  • Module d'automation Automation Module

SignalLAB runs on Microsoft Windows NT version 4.0., Windows 2000 and Windows XP. Une mémoire vive de 1 Go est conseillée (512 Mo minimum). A RAM 1 GB is recommended (512 MB minimum).

 


Base module

The basic module is required to use the modules trades. =It provides the user with tools for data management, signal processing and visualization powerful and easier to use. The signals used by SignalLAB come from the acquisition module or import data files from the import many functions available (format embeddable customer at the request). Data management is graphic and tree. A wide selection of the important functions of signal processing and statistics are available. A calculator allows signals to perform simple or complex functions. SignalLAB also lets users launch functions written in Matlab or C + + with a Man Machine Interface very simple.



Modulus of time-frequency analysis


It allows users to SignalLAB to obtain spectral image complete as possible of their signals. It includes original functions and user-friendly filter in the time-frequency plane.

  • Labeling signals
  • Spectrogram simple and reallocated
  • Pseudo City Transformed Wigner (PWV)
  • Transformed by wavelets of Morlet and orthogonal wavelets
  • Filtering on time-frequency spectrogram, signal synthesis time equivalent
  • Time-frequency filtering on wavelets of Morlet, signal synthesis time equivalent
  • Curves levels


Module Shocks


It allows the calculation of the response spectra of shock. It offers new features for detecting defects measuring and identifying patterns own record in a clash.
  • Calculating response spectrum methods shocks by Prony
  • Extraction modes own
  • Calculating response spectrum shocks FFT
  • Automatic verification of the quality measures: offset, drift with an accelerometer, sub-quantification, sub-sampling, saturation


Module Customization Mechanical Test
t integrates functions conventional calculation of mechanical damage, but also the workshop of customizations test the fullest and most innovative market. A unique feature makes it possible to identify and date the constraint on the origin of the mechanical damage the most important.
  • Functions calculation of damage and fatigue equivalent extraction peaks / valleys, counting RainFlow, Mix, calculation of damage, viewing time - frequency of the damage, test specification sinuses, filtering in the matrix synthesis and Rainflow reverse signal peak-valley
  • Personalize statistical test (spectral approach), specification of DSP Test
  • Personalize deterministic test (temporal approach), specification of DSP Test

 



Classification Module

It includes many automation to promote the learning and recognition of interesting features within large amounts of data. It is particularly suited to correlate subjective - objective.

  • Labeling signals
  • Specification graphical features classification or select from existing ones
  • Choosing among several methods of learning supervised or unsupervised
  • Numerous possibilities for automating the classification on lists of directories

 



Acquisition Module

It includes a multi-purpose function signal acquisition capable of driving a representative selection of maps of acquisition. This module integrates functions for viewing and export. It can be used independently of the core module.
 


Automation Module

It allows you to implement a chain of treatment in an automatic way to a set of files across multiple directories. This ensures quality control of a tabulation that it is repetitive in its implementation or in the management of successive versions.