The latent state hazard model, with application to wind turbine reliability

Published

Journal Article

© Institute of Mathematical Statistics, 2015. 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 and direction, etc. The turbine might fail because of the external effects of a spike in temperature. If it does not fail during the temperature spike, it could still fail due to internal degradation, and the spike could cause (or be an indication of) this degradation. The ability to identify the underlying latent state can help better understand the effects of external sources and thus lead to more robust decision-making. We present an experimental study using SCADA sensor measurements from wind turbines in Italy.

Full Text

Duke Authors

Cited Authors

  • Moghaddass, R; Rudin, C

Published Date

  • December 1, 2015

Published In

Volume / Issue

  • 9 / 4

Start / End Page

  • 1823 - 1863

Electronic International Standard Serial Number (EISSN)

  • 1941-7330

International Standard Serial Number (ISSN)

  • 1932-6157

Digital Object Identifier (DOI)

  • 10.1214/15-AOAS859

Citation Source

  • Scopus