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We present a new model for reliability analysis that is able to distinguishthe latent internal vulnerability state of the equipment from the vulnerabilitycaused by temporary external sources. Consider a wind farm where each turbineis running under the external effects of temperature, wind speed and direction,etc. The turbine might fail because of the external effects of a spike intemperature. If it does not fail during the temperature spike, it could stillfail due to internal degradation, and the spike could cause (or be anindication of) this degradation. The ability to identify the underlying latentstate can help better understand the effects of external sources and thus leadto more robust decision-making. We present an experimental study using SCADAsensor measurements from wind turbines in Italy.

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