Digital Signal Processing and Test Data Analysis

Learn how to analyze measured test data

Course overview - 2 days

In this course, you will learn how to analyze measured performance, structural, and fatigue test data and turn it into actionable information with practical hands-on sessions where you get to put concepts into action using nCode GlyphWorks software.

Class time is split between lecture on data analysis techniques and hands-on sessions where you get to put concepts into action with GlyphWorks software.


Learning objectives

  • Solve engineering problems by applying analysis techniques including signal processing, statistical analysis, and durability assessment with pre-designed engineering functions called ‘glyphs’
  • Display results by time series, histogram, charts and reports, synchronizing measured signals with GPS and video and interpret results
  • Identify and correct errors and problems with measured data
  • Identify and analyze channels of interest
  • Identify and extract key sections of measured signals
  • Perform math operations on single, multiple and combined channels
  • Classify data into rainflow cycle counts, FFT-PSD and other statistical measures
  • Perform durability analysis, including strain gauge rosette processing, fatigue analysis and crack growth
  • Replace frequently used groups of glyphs with a SuperGlyph
  • Create custom glyphs using Matlab or Python scripting
  • Import/export third party data formats

Topics included

  • Introduction to the nCode GlyphWorks interface
  • Importing and exporting data
  • Graphically displaying data
  • Manipulating and analyzing data
  • Fatigue analysis
  • Crack growth
  • Optimized proving ground testing
  • Custom scripting glyph
  • Cleaning and editing bad or anomalous data
  • Using metadata in automated calculations
  • Automated report generation

Who should attend

The course is aimed at engineers who need to analyze measured test data. This data is typically channels like strain, acceleration, load, temperature, etc. from the field, proving ground, or laboratory. It is assumed that attendees are familiar with data measurement practices and general signal processing concepts. No prior knowledge of nCode software is required.