Improved Predictive Unmanned Aerial Vehicle Maintenance Using Business Analytics and Cloud Services

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cityu.schoolSchool of Technology and Computing
cityu.siteSeattle
cityu.site.countryUnited States
dc.contributor.authorKim, Taejin
dc.date.accessioned2021-11-23T21:39:26Z
dc.date.available2021-11-23T21:39:26Z
dc.date.issued2021-09
dc.description.abstractDemand for Unmanned Aerial Vehicle (UAV) usage in various industries is rapidly increasing from one year to another, but at the same time, there is growing concern about the electrical, mechanical, and system reliability of UAVs. The problem is that those reliability issues will interfere with safe operations and may lead to accidents due to malfunctions during flight. One of the effective ways to solve the issues is to strengthen the existing UAV maintenance method. For that reason, this research paper will review data analytics technologies that are using with existing predictive maintenance in aviation or other industries. Furthermore, this paper explains the strengths and weaknesses of each technology and compares each technology of the existing maintenance methods with a Proposed Maintenance Method (PMM) that uses Microsoft Power BI and Azure to verify which maintenance method is better to improve UAV reliability. Lastly, the paper discusses a limitation of the PPM and other efforts to increase the UAV reliability.
dc.identifier.urihttp://hdl.handle.net/20.500.11803/1568
dc.language.isoen
dc.publisher.institutionCity University of Seattle (CityU)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rightsopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjectpreventive maintenance
dc.subjectdata analytics technology
dc.subjectUAV reliability
dc.subjectproposed maintenance method (PMM)
dc.titleImproved Predictive Unmanned Aerial Vehicle Maintenance Using Business Analytics and Cloud Services
dc.typeCapstone
thesis.degree.disciplineComputer Science
thesis.degree.grantorCity University of Seattle
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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