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Training / Education

Aircraft Cabin Safety and Interior Crashworthiness

2024-07-23
This two-day course will begin with a discussion of commercial off the shelf (COTS) test requirements.  The instructor will then guide participants through the various cabin interior emergency provisions and their requirements such as supplemental passenger oxygen, emergency equipment, seats, flammability, emergency exits, emergency lighting and escape path markings, and various other cabin interior systems.  
Training / Education

Drones for Mapping Accident Reconstruction Sites

Anytime
Participants learn what a drone is and how this tool can aid them in producing an orthomosaic map of an accident scene/location. Participants will learn basic drone safety, operations, and best practices, and will understand how to address airspace basic steps to achieve their Part 107 federal aviation administration (FAA) certification.
Training / Education

Diesel Engine Technology

Anytime
Regulations and consumer expectations have shaped the modern diesel engine. Enhancements have resulted in more power, fuel efficiency, reliability, and lower emissions, an indication that diesels will remain popular in the future. This technology is most widely used in commercial applications, such as trucking, shipping, construction, busing, and more. Each year, many light and medium duty car and truck manufacturers introduce diesel vehicles worldwide. A fundamental knowledge of diesel technology is critical for anyone involved in the diesel engine support industry.
Training / Education

Accelerated Test Methods for Ground and Aerospace Vehicle Development

Anytime
Engineers and managers involved with product development are continually challenged to reduce time to market, minimize warranty costs, and increase product quality. This results in less time for testing, which means the need for effective accelerated test procedures has never been greater. Accelerating your testing program sounds great, but how do you begin? This course starts by taking a look at statistical models for reliability testing. It looks specifically at how sample size and testing timeframe affect what you’re able to do versus what you'd ideally do with more time and money.
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