THE LATENT STATE HAZARD MODEL, WITH APPLICATION TO WIND TURBINE RELIABILITY

We present a new model for reliability analysis that is able to distinguish the latent internal vulnerability state of the equipment from the vulnerability caused by temporary external sources. Consider a wind farm where each turbine is running under the external effects of temperature, wind speed a...

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Veröffentlicht in:	The annals of applied statistics 2015-12, Vol.9 (4), p.1823-1863
Hauptverfasser:	Moghaddass, Ramin, Rudin, Cynthia
Format:	Artikel
Sprache:	eng
Schlagworte:	big data decision-making maintenance Performance monitoring reliability
Online-Zugang:	Volltext
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