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 channels that relate to a region of interest
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
TipClearance files provide access to ‘real’ probe channels as well as ‘collated-pseudo’ blade channels – the probe channels are searched for all instances of events from BladeX which are then collated to form a new channel
