PSV Software - Rel. 8.4

Polytec’s PSVSoft Scanning Vibrometer Software has significantly expanded and improved the data acquisition, analysis and presentation modes with the release of version 8.4. Numerous requests and suggestions from the user community have been incorporated. Along with various improvements, many new features have been implemented.

New Features and Improvements

Individual Geometry Components

The measurement geometry can be divided into a hierarchical set of geometry components enabling a mapping of point sets to the corresponding components’ name.
 
Enhanced Functionality of the Signal Processor

The signal processor has become an even stronger data processing tool. New functions allow 1-D-data sets to be combined with a 3-D data set, extract single directions from 3-D data sets, and to compare points with different indices directly. Many of the mathematical functions can now operate also on complete spectra or time domain data sets. A parameter input wizard assists in providing the correct parameters for multi-parameter functions.

New Cursor Functions in Analyzer Window

Two new cursors have been added to the standard analyzer window for an extensively enhanced peak analysis capability. First, a band cursor providing statistical parameters and harmonic oscillator curve fitting including peak position and damping. Second, a harmonic cursor that plots up to 12 cursor lines at the 2nd, 3rd, … order of the base frequency.

Enhanced Import and Export Options

In addition to extended ASCII import and export options that allow the exchange of PSV data with almost any system, user defined data sets can now be exported in universal file format (UFF) or in ME’scope binary format to make pre-processed Polytec data available for post processing in external packages. Frequency spectra and time domain data can be imported from UFF and ME’scope data files. For example, modal fits from ME’scope can be imported and compared to the original data of PSV, or measurement data from other systems (e.g. accelerometer data) can be included in PSV data visualization. A great step towards acquiring additional data from hidden points.