Introduction
The author and V C Serghides have performed statistical analyses to produce combat aircraft reliability and maintainability prediction methods. These are applicable for use at the conceptual design stage, because they only require the use of readily-available parameters such as wing span, engine thrust, mass, etc. These methods predict whole-aircraft values of confirmed defects per 1000 flying hours and defect maintenance hours per 100 flying hours. Predictions are also made for individual systems and allowances may be made for technology improvements, relative to the empirical data-base used in the method derivation. These may be used as targets for reliability performance of individual systems during the preliminary design stage.
Earlier work by the author produced a similar method for the prediction of commercial aircraft dispatch reliability. The whole-aircraft equations produced are reproduced in Section C2, below.
Commercial aircraft dispatch reliability prediction
The work reported in ref C2 showed that some systems exhibited different traits according to the type of airline operation. For example long-haul aircraft tended to have higher delay rates because they may be away from their home base for more than a week, and defects might accumulate, whereas short-haul aircraft tended to return to their home-bases more often. Other considerations were also affected by the operational type, in such things as Chapter 28 – fuel systems, where long-haul aircraft had more complicated systems which were more delay-prone than those of short-haul aircraft.
To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Find out more about the Kindle Personal Document Service.
To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.
To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.