GlyphWorks

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Fatigue & Durability Analysis


The Data Processing System for Engineers


What is nCode GlyphWorks?

The leading Data Processing System for engineering test data analysis. Designed to handle huge amounts of data, GlyphWorks provides a graphical, process-oriented environment. Users can simply create an analysis workflow by ‘drag and dropping’ analysis building blocks.

Processes created in GlyphWorks can be locked-down and distributed, improving the consistency and speed of analysis without manually created scripts.

GlyphWorks provides a wide range of data processing capabilities with specialized options such as fatigue analysis, accelerated testing, and frequency domain tools for ride quality and rotating machinery analysis.

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The GlyphWorks Interface

Simple to use and very powerful


Typical Applications


GlyphWorks is used by analysts and test engineers to:
  • Analyze and report on huge volumes of multichannel time series data
  • Identify and clean anomalous data
  • Undertake load analysis, fatigue and durability studies
  • Analyze noise and vibration data
  • Design accelerated test campaigns
  • Process and geographically display multichannel operations data.

Key Features
  • Process Flow Based:  Easy to configure – extremely simple to use.
  • Integrated Test and CAE Analysis.  Use the right loads for your analysis - straight from the test department!
  • Capture processes – and re-deploy again and again.
  • All the signal processing tools you expect
  • Batch and interactive running
  • Designed for multiple channels of data – all analyzed in a single pass!
  • The descriptive data associated with your data (metadata) is retained and tracked through out!
  • No scripting required– just drag and drop
  • Automated reporting – data to report in just 2 clicks!
  • Advanced Options for fatigue, frequency analysis, accelerated testing, GPS data visualization and more!

Benefits

GlyphWorks helps you:
  • Rapidly gain insight into your data
  • Take days out of your analysis processes
  • Capture and deploy standard analysis approaches across you organization
  • Use the same tools across your analysis groups – saving costs and gaining productivity...

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