With integrated equipment health prognosis, both physical models and condition monitoring data are utilized to achieve more accurate prediction of equipment remaining useful life (RUL).
Frequent premature fatigue failure of construction machinery has spurred the demand for fatigue life prediction of such equipment.
Cavitation pitting test is often used for the quantification of flow aggressiveness required for lifetime prediction of hydraulic equipment.
The designed model enables failure prediction of the whole equipment, its particular parts and selected machine groups.
Compositional gradient known as a potential of vertically variations in composition (and sometimes areal changes) has a remarkable effect on reservoir management steps such as estimation of initial hydrocarbon in place, design of downstream equipments and prediction of gas oil contact.
The use of embedded matrix transducers located all over the composite material used for armor tiles is proposed for the construction of protective clad screens; this approach enables efficient detection of damaged areas of the protective screen, the assessment of the level of damage, and the prediction of damage to spacecraft and equipment structures.
The latter procedure, however, is applied for the prediction of mass transfer rates in mass transfer equipment as, e.g. in fixed beds, fluidized beds and on bubble trays.
In this paper, the factors influencing the consumption of equipment spare parts are considered, the consumption characteristics of equipment spare parts are analyzed, and the consumption prediction of spare parts under small sample conditions is solved by engineering analysis method.
An optimal selection (or design) of such clamping equipment calls for an accurate prediction of the tooling forces generated.
The number of aircraft of any particular type is not large enough for the accurate prediction of losses, and each type of aircraft has its special characteristics and equipment.
