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Failure Prognosis for Hybrid Systems Based on ARR Residuals

Failure Prognosis for Hybrid Systems Based on ARR Residuals [Pg.221]

By using thresholds and a decision procedure, fault diagnosis can provide an indication of the onset of an incipient fault that may lead to a failure. If a model of the anticipated degradation of parameters is available, the time evolution of monitored parameters or features can be extrapolated. The time from the starting point of a fault until the projected parameter value intersects with a user defined alarm threshold is then an estimation of the remaining useful life. The prediction of the RUL is affected by uncertainties in the monitored parameters, by the choice of the degradation model, uncertainties in its parameters and uncertainties in the failure alarm thresholds. As [Pg.221]

Borutzky, Bond Graph Model-based Fault Diagnosis of Hybrid Systems, [Pg.221]




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Failure prognosis

Failures systemic

Hybrid systems

Hybridization for

PROGNOSYS

Prognosis for

Residual system

System failures

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