The Wright Data: Enhancing Aircraft System Monitoring and Reducing Unscheduled MaintenanceDownload PDF
Commercial air travel is a highly competitive business with potential customers having a slew of price comparison websites to quickly and easily find the best prices for a particular journey. While different airlines have other benefits to offer (superior customer service, reliability, in flight comfort and entertainment, more convenient flight times etc.), price is a key consideration. Thus airlines are always looking for ways to keep costs low so they can pass these savings onto their customers.
One high cost is troubleshooting and repairing systems on aircraft. It can be difficult for maintenance personnel to identify what part of a system is faulty and it can take a long time to remove, test, and reinstall parts of a system until the culprit is found. Worse, if a failure occurs that unexpectedly grounds an aircraft, it can mean severe disruption and expense for the airline.
Many aircraft in commercial operation today do not provide sufficient data to support predictive maintenance or optimize maintenance operations. Despite living in an era of the “data rich” modern aircraft, even these don’t collect all the necessary parameters at the right sample rate. Many systems that are not critical for safe flight, but critical for smooth operations, are not monitored in any useful way. Problematic systems such as air conditioning and auxiliary power are notorious for failing with little or no warning, and are prime target for predictive maintenance systems.
This white paper discusses the problem of inefficient maintenance, lack of access to the right data, and how aircraft can be retrofitted with instrumentation to more quickly identify impending failures, rapidly repair them, and minimize aircraft downtime and maintenance time.
Download the white paper and read about:
- Aircraft maintenance
- Predictive maintenance
- Big data
- Data acquisition systems