Validation of Helicopter Gear Condition Indicators Using Seeded Fault Tests

Validation of Helicopter Gear Condition Indicators Using Seeded Fault Tests

Paperback (23 Jan 2019)

Not available for sale

Includes delivery to the United States

Out of stock

This service is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Publisher's Synopsis

A "seeded fault test" in support of a rotorcraft condition based maintenance program (CBM), is an experiment in which a component is tested with a known fault while health monitoring data is collected. These tests are performed at operating conditions comparable to operating conditions the component would be exposed to while installed on the aircraft. Performance of seeded fault tests is one method used to provide evidence that a Health Usage Monitoring System (HUMS) can replace current maintenance practices required for aircraft airworthiness. Actual in-service experience of the HUMS detecting a component fault is another validation method. This paper will discuss a hybrid validation approach that combines in service-data with seeded fault tests. For this approach, existing in-service HUMS flight data from a naturally occurring component fault will be used to define a component seeded fault test. An example, using spiral bevel gears as the targeted component, will be presented. Since the U.S. Army has begun to develop standards for using seeded fault tests for HUMS validation, the hybrid approach will be mapped to the steps defined within their Aeronautical Design Standard Handbook for CBM. This paper will step through their defined processes, and identify additional steps that may be required when using component test rig fault tests to demonstrate helicopter CI performance. The discussion within this paper will provide the reader with a better appreciation for the challenges faced when defining a seeded fault test for HUMS validation. Dempsey, Paula and Brandon, E. Bruce Glenn Research Center NASA/TM2013-217872, E-18669

Book information

ISBN: 9781794394810
Publisher: Amazon Digital Services LLC - KDP Print US
Imprint: Independently Published
Pub date:
Language: English
Number of pages: 26
Weight: 86g
Height: 279mm
Width: 216mm
Spine width: 1mm