A Real-Time Quantitative Condition Alerting and Analysis Support System for Aircraft Maintenance

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$59,997.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
NNA06BA08C
Award Id:
77671
Agency Tracking Number:
053309
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
11836 Fishing Point Drive, Suite 200, Newport News, VA, 23606
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
073855186
Principal Investigator:
Paul Robinson
Principal Investigator
(757) 723-1300
paulrobinson@atr-usa.com
Business Contact:
Steven Velotas
Business Official
(757) 723-1300
stevevelotas@atr-usa.com
Research Institute:
n/a
Abstract
Financial constraints and the need for improved operational efficiency are requiring airlines to emphasize "on-condition" maintenance over scheduled maintenance where possible. However, many of the specific conditions and events of interest to airline maintenance are not being monitored by automatic systems. Some of these events are detected through a subjective determination by the aircrew. This subjective determination can result in both maintenance being performed unnecessarily and maintenance not being performed when needed. AeroTech will develop a multi-tier, Quantitative Condition Alerting and Analysis Support (Q-CAAS) system for aircraft that will in real-time, automatically downlink to maintenance personnel, reports on the occurrence of specific conditions and events (e.g. loads exceedance). The reports will be displayed on a web based, ground station network. The system will also track individual aircraft's exposure to particular in-flight conditions allowing airline personnel to tailor maintenance programs to individual aircraft. By providing quantifiable data in real-time, operational decisions can be made to minimize the impact and maximize the benefits of on-condition maintenance. The Q-CAAS system will be comprised only of software that can be implemented on most current fleet aircraft, keeping costs low, minimizing the time to market, and therefore maximizing the likelihood of industry adoption.

* information listed above is at the time of submission.

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