Abreak-through technology uses current sensors and Flight Data Records (FDR) to predict maintenanceissues with high schedule impact potential, in time to take corrective action and minimize impact to flight schedules. Trials on regional jets reduced flight delays caused by maintenance issues by up to 25 %.

Maintenance Delays Cost The U. S. Airline Industry over $ 9 billion Per Year.

Predictive Aviation Will Improve Passenger Safety and On-time Performance while Substantially Reducing Maintenance Delays.

Direct Costs

In 2015, the cost of aircraft block (taxi plus airborne) time for U.S. passenger airlines was $ 65.43 per minute, nearly 16 percent less than in 2014. Fuel costs, the largest line item, declined 39 percent to $ 22.62 per minute. Crew costs rose 12 percent to $ 19.54 per minute, followed by maintenance and aircraft ownership ($ 11.63 and $ 8.80, respectively) and all other costs ($ 2.85).

Predictive Aviation Analytics, Inc. uses advanced analytics, smart computer technology with learning algorithms, and data mining to analyze post-flight data. It checks for aircraft equipment in need of maintenance action to keep the flight readiness of aircraft. It can predict the potential for failing components in time to schedule repairs get parts in hand. It can also identify unsafe system anomalies that show a high probability for a catastrophic event. The new technology also helps airlines avoid unneeded maintenance by indicating parts are still working within normal parameters. While the diagnostic will not identify the exact failing part, it gives mechanics enough data to narrow the issue to a short list of potential problems. This saves diagnostic steps and may reduce repair times.

This novel technology far outperforms current evaluative software. Predictive Aviation used less than 2 % of the data available to FDM/FOQA models and outperformed them by up to 70 %. As it continues to mine data, the success rate is likely to keep improving. Flight delays cost the US domestic airline industry about $ 9 billion a year in direct costs plus another $ 17 billion in passenger costs.

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Direct Costs

In 2015, the cost of aircraft block (taxi plus airborne) time for U.S. passenger airlines was $ 65.43 per minute, nearly 16 percent less than in 2014. Fuel costs, the largest line item, declined 39 percent to $ 22.62 per minute. Crew costs rose 12 percent to $ 19.54 per minute, followed by maintenance and aircraft ownership ($ 11.63 and $ 8.80, respectively) and all other costs ($ 2.85).

Maintenance delays are a leading cause of flight delay. Airlines can look to this tech to improve on-time flights, increase safety, and save on MRO costs.

Predictive Aviation Analytics offers the best cost and safety predictions for airplanes. Using existing airline sensors and data from the Flight Data Recorders (FDR) its software more accurately predicts outlying indicators before they become problems. Predictive Aviation’s unique artificial intelligence software, “learns” as it gathers more information. It used only 1.33 % of the data available to the current leading predictive models (FDM/FOQA models) and still outperformed them by up to 70 %. The more data it gains, the more accurate it will become.

Commercial, Military and General Aviation will all benefit from Predictive Aviation. They will see their safety record improve, their customer satisfaction grow, and their maintenance costs substantially decline. Even a single plane has a huge impact.

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Crisis Averted: The Tale of Two Planes

The Boeing 777 had been in the air for 13 hours on its way to Dubai. It had just come out of routine “A Check” 125 hour inspection. The smooth ride had no irregularities. Then, shortly before landing, the Captain saw needle fluctuations in the N 2 gage. No one saw that the N 2 needle had been displaying imperceptible and increasing vibrations over the last 50 hours. The Captain continued to monitor the needle. It stayed in the green until they landed.

As they taxied, the fluctuations spiked into the red. The pilot shut down the engine and immediately radioed maintenance. Dubai had no spare 777 engine.

The airline suffered extensive costs and delays. It had to:

  • Cancel the outgoing flight

  • Reroute passengers to other airlines and Potentially lose future business from passengers who experienced travel disruptions and delays.

  • Fly in a Boeing 777 spare engine, maintenance team and test pilots.

  • Pay the steep cost of extensive maintenance in a high-priced country

  • Lodge and feed the crew, maintenance team and test pilots until the aircraft could fly again.

  • Add a second Boeing 777 to fly the daily Dubai route for the duration of the repairs.

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Maintenance Delays Cost The U. S. Airline Industry over $ 9 billion Per Year.

Predictive Aviation Will Improve Passenger Safety and On-time Performance while Substantially Reducing Maintenance Delays.

Lower Risk

Another Boeing 777’s airline used Predictive Aviation Analytics’ Patent Pending Artificial Intelligence Software. It had also just come out of routine “A Check” 125 hour inspection. Predictive Aviation downloaded and analyzed data from the plane’s Flight Data Recorder each day.

The software algorithms noted an imperceptible increase in engine vibrations over a series of flights and tagged it as upcoming bearing failure.

It sent an alert message to the airline’s maintenance department. The N 2 bearing check was added to the scheduled “A Check” preventative maintenance inspection. At the “A Check” inspection the bearings showed irregular wear and were replaced. The plane returned to the scheduled Dubai route without delay.

Operations continued seamlessly. No maintenance delays. The airline saved millions of dollars in time and materials than if the bearing had failed. The good name of the airline was maintained and its customers continued to safely arrive at their destinations.

Jackie Aguilar-Montalban