The loss of load probability (LLP) is used to define the availability of the system.
To obtain this more availability of the system having reliable arcs are desirable.
The availability of the system and the corresponding designing cost are considered as two optimization objectives.
In addition, we display its performance by measuring latency and energy consumption and simulating the availability of the system.
Each approximate optimization problem is solved in an efficient manner due to the availability of the system reliability in explicit form.
The optimization of the battery pack in an off-grid Photovoltaic application must consider the minimum sizing that assures the availability of the system under the worst environmental conditions.
Probabilistic method deploys thermal-hydraulic codes to evaluate availability of the system and generates simulated response surfaces comprising of large amount of data, which eventually consumes improbable computation time.
Other factors, such as a reduction in the availability of the system, compromising reliability of high value assets, and logistical factors, can all contribute to the cost of resolving an unknown fault.
It is necessary to consider the design of the system from the point of view of many design disciplines to optimise acquisition and operating support costs, weight, maintainability and availability of the system.
The computation of long-run availability of the system.
Availability of the system is a suitable scale for measuring the reliability of a repairable system.
