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nCode GlyphWorks: Signal Processing and Test Data Analysis

Learn how to analyze measured test data using nCode GlyphWorks

nCode GlyphWorks: Signal Processing and Test Data Analysis provides an overview of time series analysis techniques and offers hands-on sessions where you will learn how to use nCode GlyphWorks software to quickly and efficiently turn raw data into actionable information.

Course duration

 

2 Days | Online Version Available

Software used

 

nCode Glyphworks

Prerequisites

 

None

A very well structured and delivered course, which has helped with my development and understanding of GlyphWorks.

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 Python or MATLAB
  • Import/export third party data formats

Topics Included

  • Introduction to durability
  • The importance of in-service loading
  • Structural response
  • Manipulating and analyzing data
  • Cleaning and editing bad or anomalous data
  • Using metadata in automated calculations
  • Automated report generation
  • Advanced analysis techniques
  • Tips and tricks

Who should attend

 

The nCode GlyphWorks: Signal Processing and Test Data Analysis 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.

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Please note:

 

  • Online payment and registration is compatible with Microsoft Edge and Firefox. 
  • You can only add courses of one currency at a time. To check out or modify your basket, use the links below.
  • Registration closes two business days prior to the course start date. This is done to ensure successful participant registration and preparation time.

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