Improving Radar’s Reliability and Maintainability
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| Publicado en: | ProQuest Dissertations and Theses (2025) |
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| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| 100 | 1 | |a Zhang, Ying J. | |
| 245 | 1 | |a Improving Radar’s Reliability and Maintainability | |
| 260 | |b ProQuest Dissertations & Theses |c 2025 | ||
| 513 | |a Dissertation/Thesis | ||
| 520 | 3 | |a Approximately 30% of returned radar hardware is classified as “Cannot Duplicate” (CND), indicating a high rate of failure reports that cannot be reproduced. These returns typically result in no repairs being performed, despite extensive testing and investigation. In such cases, a repair depot is unable to replicate the failures reported by field maintenance crews. This can lead to significant waste in terms of time, cost, and resources for a company and a customer. More critically, it disrupts fighter jet operations and reduces overall operational availability. Additionally, CND returns negatively impact the reliability and maintainability (R&M) metrics of radar systems. This praxis presents the development of a machine learning algorithm that utilizes data from the Failure Reporting, Analysis, and Corrective Action System to predict CND cases. The objective is to reduce the CND return rate by 20%, thereby enhancing the R&M of fighter jet radar systems. By minimizing unnecessary hardware replacements, the proposed solution aims to improve operational availability and significantly reduce sustainment costs when implemented at the field or depot level. | |
| 653 | |a Engineering | ||
| 653 | |a Computer engineering | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Electrical engineering | ||
| 773 | 0 | |t ProQuest Dissertations and Theses |g (2025) | |
| 786 | 0 | |d ProQuest |t ProQuest Dissertations & Theses Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3240375004/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3240375004/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |