Dissertation/Thesis
Hybrid Stochastic Models for Remaining Lifetime Prognosis
| 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 |
| Η περιγραφή δεν είναι διαθέσιμη |