Abstract
This paper details the results of a survey on safety and reliability of commercial Unmanned Aerial Systems (UAS), issued to 1500 companies in the UK, with a 10% response rate. The results of this study concur with previous studies that commercial UAS have a failure rate of 1/10 3 flight hours. Furthermore, we found a reported 49% of companies believe a critical failure will occur within every 500 hours of flight. We investigate the responses concerning UAS subsystems; the experience of onboard intelligent systems, current practices around the frequency of maintenance and servicing of subsystems, and subsystems identified in order of the highest likelihood of failure. Informed by the results of this survey and a state of the art literature review we identify emerging technologies and methods as candidate solutions to the respondents reported challenges, such as; Integrated Vehicle Health Management (IVHM), Formal Methods, Simulations and Fault Tolerant Control (FTC). The integration of these techniques, in a systematic framework with a supporting automatic tool-chain, is identified as a candidate solution to reliability and certification challenges in UAS.
Original language | English |
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Title of host publication | 2019 4th International Conference on System Reliability and Safety (ICSRS) |
Publisher | IEEE |
Pages | 203-212 |
Number of pages | 10 |
ISBN (Electronic) | 9781728147819 |
DOIs | |
Publication status | Published - 10 Feb 2020 |
Event | 4th International Conference on System Reliability and Safety 2019 - Rome, Italy Duration: 20 Nov 2019 → 22 Nov 2019 |
Conference
Conference | 4th International Conference on System Reliability and Safety 2019 |
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Abbreviated title | ICSRS 2019 |
Country/Territory | Italy |
City | Rome |
Period | 20/11/19 → 22/11/19 |
Keywords
- Autonomous systems
- Drones
- Health management
- Prognostics
- Reliability
- Safety
- Unmanned aerial system
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Computer Networks and Communications
- Information Systems and Management
- Control and Optimization