Koenig, Frank, Found, Pauline ![]() ![]() ![]() |
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Abstract
Purpose: The findings of a recent study are presented, which was conducted with the objective of addressing the problem of the failure of baggage carts within the high-speed baggage tunnel at Heathrow Terminal 5 through the development of an innovative condition-based maintenance system designed to meet the requirements of 21st century airport systems and Industry 4.0. Methodology: An empirical experimental approach to this action research was taken to install a vibration condition monitoring pilot test in the north tunnel at Terminal 5. Vibration data were collected over a 6-month period and analysed to determine the threshold for good quality tyres and those with worn bearings that needed replacing. The results were compared with existing measures to demonstrate that vibration monitoring could be used as a predictive model for condition-based maintenance. Findings: The findings demonstrated a clear trend of increasing vibration velocity with age, with the wheel mass unbalanced inertia of the carts being transmitted to the tracks as vibration. This research demonstrates that a healthy wheel produces a vibration of less than 60mm/s whereas a damaged wheel measures up to 100 mm/s peak to peak velocity, which can be used in real-time condition monitoring to prevent baggage cart failure. It can also run as an autonomous system linked to AI and Industry 4.0 airport logic. Originality/Value: Whilst vibration monitoring has been used to measure movement in static structures, such as bridges, and in rotating machinery, such as railway wheels (Tondon and Choudhury, 1999) this application is unique as it is the first time vibration monitoring has been applied to a stationary structure (tracks) carrying high-speed rotating machinery (baggage cart wheels). This technique has been patented and proven in the pilot study and is in the process of being rolled out across all Heathrow terminal connection tunnels. It has implications for all other airports world-wide, and also to other applications that rely on moving conveyor belts.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Business (Including Economics) |
Publisher: | Emerald |
ISSN: | 1355-2511 |
Date of First Compliant Deposit: | 3 September 2018 |
Date of Acceptance: | 29 August 2018 |
Last Modified: | 06 Nov 2023 20:29 |
URI: | https://orca.cardiff.ac.uk/id/eprint/114493 |
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