Automated Data Analysis for Trending and Summarising
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Dynamic Solutions For A Testing World PIONEER Automated Data Analysis for Trending and Summarisation  Fast and highly automated feature extraction process  Flexible data set definition  Graphical and logical data validation  Automated queries for The primary role of Pioneer is to assist engineers during the analysis of vibration test results, by quickly and easily locating the critical results required to assess the mechanical integrity of the components under test. This allows the engineer to spend less time reviewing all the data to find the critical results, and more time studying and validating just those critical data points from the test. Pioneer’s main features include: reporting critical data Automation of the repetitive, data manipulation of the analysis process.  Fully automated plots for Provision of a ‘standard’ method for engineers to sort and summarise data allowing for validation of all processes used. Ability to view any values reported to the user in the frequency domain spectral density plot from which the value has been extracted. Ability to identify and mark any data points that are deemed ‘invalid’ during the acquisition. Provision of a range of methods to identify and extract the key data values for summary plotting and assessment. Provision of a range of standard plots to report the summarised data. displaying the most important features  Single storage location of extracted peaks with local or remote network access capabilities  High-performance operation  Multi-user access Applications Pioneer performs many fast automated processes and is ideal for those who want to report the most critical data from an important test within minutes. It also enables users to have only one single storage location of important information which is accessible via a local or remote network.  Unlimited peak data point storage  Multi-user access Local or remote network access Email: info@hgl-dynamics.c

Dynamic Solutions For A Testing World This process enables the user to automatically extract peak data points from processed files in the frequency domain. It then stores them in a database that can be located centrally or remotely, with all available information. The extraction process can be performed on: • Modes • Combined engine orders Data Selection The selection interface enables the user to select extracted peak data points of interest from a local or remote central database. The selection is made by using a standard tree view display and also by using different filter options...