Integrating Commercial-Off-The-Shelf Components into Radiation-Hardened Drone Designs for Nuclear-Contaminated Search and Rescue Missions
This paper conducts a focused probabilistic risk assessment (PRA) on the reliability of commercial off-the-shelf (COTS) drones deployed for surveillance in areas with diverse radiation levels following a nuclear accident. The study employs the event tree/fault tree digraph approach, integrated with...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
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| Series: | Drones |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-446X/7/8/528 |
| _version_ | 1828715507342114816 |
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| author | Arjun Earthperson Mihai A. Diaconeasa |
| author_facet | Arjun Earthperson Mihai A. Diaconeasa |
| author_sort | Arjun Earthperson |
| collection | DOAJ |
| description | This paper conducts a focused probabilistic risk assessment (PRA) on the reliability of commercial off-the-shelf (COTS) drones deployed for surveillance in areas with diverse radiation levels following a nuclear accident. The study employs the event tree/fault tree digraph approach, integrated with the dual-graph error propagation method (DEPM), to model sequences that could lead to loss of mission (LOM) scenarios due to combined hardware–software failures in the drone’s navigation system. The impact of radiation is simulated by a comparison of the total ionizing dose (TID) with the acceptable limit for each component. Errors are then propagated within the electronic hardware and software blocks to determine the navigation system’s reliability in different radiation zones. If the system is deemed unreliable, a strategy is suggested to identify the minimum radiation-hardening requirement for its subcomponents by reverse-engineering from the desired mission success criteria. The findings of this study can aid in the integration of COTS components into radiation-hardened (RAD-HARD) designs, optimizing the balance between cost, performance, and reliability in drone systems for nuclear-contaminated search and rescue missions. |
| first_indexed | 2024-03-11T00:00:13Z |
| format | Article |
| id | doaj.art-61a5d038ff054799967033366a7f57fd |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-11T00:00:13Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-61a5d038ff054799967033366a7f57fd2023-11-19T00:50:36ZengMDPI AGDrones2504-446X2023-08-017852810.3390/drones7080528Integrating Commercial-Off-The-Shelf Components into Radiation-Hardened Drone Designs for Nuclear-Contaminated Search and Rescue MissionsArjun Earthperson0Mihai A. Diaconeasa1Department of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USADepartment of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USAThis paper conducts a focused probabilistic risk assessment (PRA) on the reliability of commercial off-the-shelf (COTS) drones deployed for surveillance in areas with diverse radiation levels following a nuclear accident. The study employs the event tree/fault tree digraph approach, integrated with the dual-graph error propagation method (DEPM), to model sequences that could lead to loss of mission (LOM) scenarios due to combined hardware–software failures in the drone’s navigation system. The impact of radiation is simulated by a comparison of the total ionizing dose (TID) with the acceptable limit for each component. Errors are then propagated within the electronic hardware and software blocks to determine the navigation system’s reliability in different radiation zones. If the system is deemed unreliable, a strategy is suggested to identify the minimum radiation-hardening requirement for its subcomponents by reverse-engineering from the desired mission success criteria. The findings of this study can aid in the integration of COTS components into radiation-hardened (RAD-HARD) designs, optimizing the balance between cost, performance, and reliability in drone systems for nuclear-contaminated search and rescue missions.https://www.mdpi.com/2504-446X/7/8/528dual-graph error propagation modeldiscrete dynamic event treedynamic probabilistic risk assessmenterror propagationOpenEPLOpenPRA |
| spellingShingle | Arjun Earthperson Mihai A. Diaconeasa Integrating Commercial-Off-The-Shelf Components into Radiation-Hardened Drone Designs for Nuclear-Contaminated Search and Rescue Missions Drones dual-graph error propagation model discrete dynamic event tree dynamic probabilistic risk assessment error propagation OpenEPL OpenPRA |
| title | Integrating Commercial-Off-The-Shelf Components into Radiation-Hardened Drone Designs for Nuclear-Contaminated Search and Rescue Missions |
| title_full | Integrating Commercial-Off-The-Shelf Components into Radiation-Hardened Drone Designs for Nuclear-Contaminated Search and Rescue Missions |
| title_fullStr | Integrating Commercial-Off-The-Shelf Components into Radiation-Hardened Drone Designs for Nuclear-Contaminated Search and Rescue Missions |
| title_full_unstemmed | Integrating Commercial-Off-The-Shelf Components into Radiation-Hardened Drone Designs for Nuclear-Contaminated Search and Rescue Missions |
| title_short | Integrating Commercial-Off-The-Shelf Components into Radiation-Hardened Drone Designs for Nuclear-Contaminated Search and Rescue Missions |
| title_sort | integrating commercial off the shelf components into radiation hardened drone designs for nuclear contaminated search and rescue missions |
| topic | dual-graph error propagation model discrete dynamic event tree dynamic probabilistic risk assessment error propagation OpenEPL OpenPRA |
| url | https://www.mdpi.com/2504-446X/7/8/528 |
| work_keys_str_mv | AT arjunearthperson integratingcommercialofftheshelfcomponentsintoradiationhardeneddronedesignsfornuclearcontaminatedsearchandrescuemissions AT mihaiadiaconeasa integratingcommercialofftheshelfcomponentsintoradiationhardeneddronedesignsfornuclearcontaminatedsearchandrescuemissions |