Dissertation/Thesis
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Hybrid Stochastic Models for Remaining Lifetime Prognosis

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Hybrid Stochastic Models for Remaining Lifetime Prognosis
Συγγραφείς: Cox, Steven M.
Πηγή: Theses and Dissertations
Στοιχεία εκδότη: AFIT Scholar
Έτος έκδοσης: 2004
Συλλογή: AFTI Scholar (Air Force Institute of Technology)
Θεματικοί όροι: United States. Air Force--Planning, Military airplanes, Equipment and supplies, Aviation, Operations and Supply Chain Management
Περιγραφή: The United States Air Force is developing its next generation aircraft and is seeking to reduce the risk of catastrophic failures, maintenance activities, and the logistics footprint while improving its sortie generation rate through a process called autonomic logistics. Vital to the successful implementation of this process is remaining lifetime prognosis of critical aircraft components. Complicating this problem is the absence of failure time information; however, sensors located on the aircraft are providing degradation measures. This research has provided a method to address at least a portion of this problem by uniting analytical lifetime distribution models with environment and/or degradation measures to obtain the remaining lifetime distribution.
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: unknown
Relation: https://scholar.afit.edu/etd/3902; https://scholar.afit.edu/context/etd/article/4904/viewcontent/AFIT_DS_ENS_04_01_Cox_S_PhD_ADA426813.pdf
Διαθεσιμότητα: https://scholar.afit.edu/etd/3902
https://scholar.afit.edu/context/etd/article/4904/viewcontent/AFIT_DS_ENS_04_01_Cox_S_PhD_ADA426813.pdf
Αριθμός Καταχώρησης: edsbas.4773CD16
Βάση Δεδομένων: BASE
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  – Url: https://scholar.afit.edu/etd/3902#
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PubType: Dissertation/Thesis
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IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Hybrid Stochastic Models for Remaining Lifetime Prognosis
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Cox%2C+Steven+M%2E%22">Cox, Steven M.</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Theses and Dissertations
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: AFIT Scholar
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2004
– Name: Subset
  Label: Collection
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  Data: AFTI Scholar (Air Force Institute of Technology)
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  Data: <searchLink fieldCode="DE" term="%22United+States%2E+Air+Force--Planning%22">United States. Air Force--Planning</searchLink><br /><searchLink fieldCode="DE" term="%22Military+airplanes%22">Military airplanes</searchLink><br /><searchLink fieldCode="DE" term="%22Equipment+and+supplies%22">Equipment and supplies</searchLink><br /><searchLink fieldCode="DE" term="%22Aviation%22">Aviation</searchLink><br /><searchLink fieldCode="DE" term="%22Operations+and+Supply+Chain+Management%22">Operations and Supply Chain Management</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: The United States Air Force is developing its next generation aircraft and is seeking to reduce the risk of catastrophic failures, maintenance activities, and the logistics footprint while improving its sortie generation rate through a process called autonomic logistics. Vital to the successful implementation of this process is remaining lifetime prognosis of critical aircraft components. Complicating this problem is the absence of failure time information; however, sensors located on the aircraft are providing degradation measures. This research has provided a method to address at least a portion of this problem by uniting analytical lifetime distribution models with environment and/or degradation measures to obtain the remaining lifetime distribution.
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  Data: https://scholar.afit.edu/etd/3902; https://scholar.afit.edu/context/etd/article/4904/viewcontent/AFIT_DS_ENS_04_01_Cox_S_PhD_ADA426813.pdf
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RecordInfo BibRecord:
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      – Text: unknown
    Subjects:
      – SubjectFull: United States. Air Force--Planning
        Type: general
      – SubjectFull: Military airplanes
        Type: general
      – SubjectFull: Equipment and supplies
        Type: general
      – SubjectFull: Aviation
        Type: general
      – SubjectFull: Operations and Supply Chain Management
        Type: general
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      – TitleFull: Hybrid Stochastic Models for Remaining Lifetime Prognosis
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            NameFull: Cox, Steven M.
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              Y: 2004
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