To
help mitigate these problems and costs, AeroTech is developing,
with NASA support, a system to automate the current methods
of manual (or aural) turbulence pilot reports (PIREPs) that
will increase both pilot and ground controller situational
awareness of the location and severity of turbulence hazards.
View
more information on TAPS
E-Turb
Hazard Prediction Algorithm
Enhanced Turbulence (E-Turb) Hazard Prediction Algorithms are an
enhancement to aircraft airborne weather radars that
provides a prediction of the turbulence hazard (in g-loads)
ahead of the aircraft which is scaled to the aircraft's
real-time flight configuration. If the hazard exceeds a
defined threshold, the turbulence information is displayed
on the weather radar display. From these indications the
aircrew can easily assess the impact that turbulence will
have on their aircraft and take action to avoid or prepare
the crew and passengers for the turbulence.
View more information on E-Turb
|
Quantitative Condition Alerting and
Analysis Support (QCAASTM)
The Quantitative
Condition Alerting and Analysis Support (QCAASTM)
system reduces and eliminates unnecessary maintenance and
associated operational costs by automatically generating
objective real-time reports of specific events for which an
inspection may be necessary (e.g. load exceedances,
including tail loads) and reports of cumulative statistics
on encountered loads. Graphical software applications enable
maintenance to make decisions that minimize operational
impacts and maximize the benefit of on-condition
maintenance.
View more
information on QCAAS |
