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Engineering analysis software: an interactive data analysis and visualization environment.(FIVE STAR: PRODUCT OF THE MONTH)
Because of rapid product design cycles, engineers are increasingly required to analyze data from model-based simulations and physical validation tests quickly and efficiently. Data acquisition systems collect hundreds of channels with high sample rates, which can create large amounts of test data. In addition, complex simulation models generate even larger amounts of data. On one hand, design engineers and engineering analysts must often understand test data to properly design a product and to develop and correlate to simulation models. On the other hand, development engineers must often review analysis and simulation results to properly instrument and setup tests.
Caterpillar Industrial Products is making available for licensing a collection of the company's engineering analysis tools. The Data Analysis ToolKit (DATK) is an interactive data analysis and visualization environment that allows engineers to explore and understand both simulation and test data rapidly. It includes a full suite of time domain, frequency domain, and statistical analysis tools. The software is based on a PV-WAVE environment from Visual Numerics, Inc., San Ramon, CA, which provides many options for DATK to exchange data and control processing with other software packages that have either been internally developed or externally purchased.
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With DATK's file translators, engineers quickly move from the formats of acquired or simulated data to Caterpillar's Generic Data Format. DATK's translators use buffered reads, allowing engineers to deal efficiently with large files and avoid RAM paging that would bog down some CPUs. According to Marcus Weber, of Caterpillar's Virtual Product Development, Technology and Solutions Division, "In creating file translators for a wide variety of data acquisition systems used at Caterpillar, we have created some code from scratch, taken advantage of functions in PV-WAVE, and incorporated data ...
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