Uncertainty Quantification of Imperfect Diagnostics
The operable state of a system is maintained during operation, which requires knowledge of the system’s state. Technical diagnostics, as a process of accurately obtaining information about the system state, becomes a crucial stage in the life cycle of any system. The study deals with the relevant pr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/10/3/233 |
| _version_ | 1797614159325560832 |
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| author | Vladimir Ulansky Ahmed Raza |
| author_facet | Vladimir Ulansky Ahmed Raza |
| author_sort | Vladimir Ulansky |
| collection | DOAJ |
| description | The operable state of a system is maintained during operation, which requires knowledge of the system’s state. Technical diagnostics, as a process of accurately obtaining information about the system state, becomes a crucial stage in the life cycle of any system. The study deals with the relevant problem of uncertainty quantification of imperfect diagnostics. We considered the most general case when the object of diagnostics, the diagnostic tool, and the human operator can each be in one of the many states. The concept of a diagnostic error is introduced, in which the object of diagnostics is in one of many states but is erroneously identified as being in any other state. We derived the generalized formulas for the probability of a diagnostic error, the probability of correct diagnosis, and the total probability of a diagnostic error. The proposed generalized formulas make it possible to determine the probabilistic indicators of diagnosis uncertainty for any structures of diagnostics systems and any types of failures of the diagnostic tool and human operator. We demonstrated the theoretical material by computing the probabilistic indicators of diagnosis uncertainty for an aircraft VHF communication system and fatigue cracks in the aircraft wings. |
| first_indexed | 2024-03-11T07:05:52Z |
| format | Article |
| id | doaj.art-ab8841a5faad4420a99b95709ac312ea |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-11T07:05:52Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-ab8841a5faad4420a99b95709ac312ea2023-11-17T08:58:12ZengMDPI AGAerospace2226-43102023-02-0110323310.3390/aerospace10030233Uncertainty Quantification of Imperfect DiagnosticsVladimir Ulansky0Ahmed Raza1Department of Electronics, Robotics, Monitoring and IoT Technologies, National Aviation University, 03058 Kyiv, UkrainePDP Engineering Section, The Private Department of the President of the United Arab Emirates, Abu Dhabi 000372, United Arab EmiratesThe operable state of a system is maintained during operation, which requires knowledge of the system’s state. Technical diagnostics, as a process of accurately obtaining information about the system state, becomes a crucial stage in the life cycle of any system. The study deals with the relevant problem of uncertainty quantification of imperfect diagnostics. We considered the most general case when the object of diagnostics, the diagnostic tool, and the human operator can each be in one of the many states. The concept of a diagnostic error is introduced, in which the object of diagnostics is in one of many states but is erroneously identified as being in any other state. We derived the generalized formulas for the probability of a diagnostic error, the probability of correct diagnosis, and the total probability of a diagnostic error. The proposed generalized formulas make it possible to determine the probabilistic indicators of diagnosis uncertainty for any structures of diagnostics systems and any types of failures of the diagnostic tool and human operator. We demonstrated the theoretical material by computing the probabilistic indicators of diagnosis uncertainty for an aircraft VHF communication system and fatigue cracks in the aircraft wings.https://www.mdpi.com/2226-4310/10/3/233technical diagnosticsdiagnosis trustworthinessdiagnostic errorprobability of a correct diagnosisthe total probability of a diagnostic erroroperator reliability |
| spellingShingle | Vladimir Ulansky Ahmed Raza Uncertainty Quantification of Imperfect Diagnostics Aerospace technical diagnostics diagnosis trustworthiness diagnostic error probability of a correct diagnosis the total probability of a diagnostic error operator reliability |
| title | Uncertainty Quantification of Imperfect Diagnostics |
| title_full | Uncertainty Quantification of Imperfect Diagnostics |
| title_fullStr | Uncertainty Quantification of Imperfect Diagnostics |
| title_full_unstemmed | Uncertainty Quantification of Imperfect Diagnostics |
| title_short | Uncertainty Quantification of Imperfect Diagnostics |
| title_sort | uncertainty quantification of imperfect diagnostics |
| topic | technical diagnostics diagnosis trustworthiness diagnostic error probability of a correct diagnosis the total probability of a diagnostic error operator reliability |
| url | https://www.mdpi.com/2226-4310/10/3/233 |
| work_keys_str_mv | AT vladimirulansky uncertaintyquantificationofimperfectdiagnostics AT ahmedraza uncertaintyquantificationofimperfectdiagnostics |