Life cycle cost impact of using prognostic health management (PHM) for helicopter avionics

Abstract

-Case studies were conducted using a stochastic model to predict the life cycle cost impact associated with the application of Prognostic Health Management (PHM) to helicopter avionics. The life cycle costs of systems that assumed unscheduled maintenance and fixed-interval scheduled maintenance were compared to the costs of precursor-to-failure and life consumption monitoring PHM approaches, and the optimal safety margins and prognostic distances were determined.

Application of PHM for Complex Electromechanical Equipments

“…And using this information in prognostic model can reduce the false alarm rate. scale, unnecessary downtime and manpower and in making full use of products' life span [6].…”

Making use of prognostics health management information for aerospace spare components logistics network optimisation

“…One of the primary strategies to enable CBM is the use of PHM [19]. Much effort has been focused on determining the general economic benefits of PHM [20][21][22][23]. The prognostics information can be used to predict the time of faults.…”

EMA remaining useful life prediction with weighted bagging GPR algorithm

“…Through estimating the progress of degradation, RUL prediction can provide a continuously prediction of remaining useful life for EMAs. Actually, if a fault is required to be detected and isolated when it occurred, its RUL should be predicted using an effective and timely method [21]. RUL prediction also ensures that some measures can be taken in case of the whole aircraft running to failures [22,23,24,25].…”