Analysis software Aurora Condition

monitoringfor maintenancefor aeronautics

Creation of logical data-subsets for analysis – Select portions of the database for analysis Algorithm definition for: Data Filtering – Rolling average etc. Derived Channels – Combine channels to create a new channel with meaning to the user Event Detection – Define logical and mathematical relationships between parameters that relate to a region of interest More features: User requested processing of data – Apply defined algorithms to the data (raw, filtered or derived) Automatic event detection and data processing – Rules can be set such that any new data is automatically processed using combinations of algorithms chained together Viewing measured, derived and event data – Multi-parameter plot allows up to 50 parameters to be plotted simultaneously Interactive viewing & cursor interrogation Event (Region-of-Interest) Amplitude Data Mining – Search the selected data-subset for specific regions of interest and for trending information Aurora-CM is part of the Aurora Analysis system, an integrated analysis platform that provides all the tools and capabilities required for summary and detailed analysis of both time and frequency domain data from a single application window. The Aurora-CM module is HGL Dynamics' main tool for analysing multipoint data collected from in-service gas turbines to monitor their performance. Monitoring the performance of the installed engines is vital for scheduling maintenance in an effective and efficient manner and for determining operating characteristics which in turn can be used to improve the performance.