The increasing complexity and scale of ship machinery systems pose significant challenges to failure analysis. There is a tendency to optimize systems via the introduction of new technologies in order to achieve, for example, improved energy efficiency or expand the operation area to extreme environments. Although such improvements are welcome, they typically also cause significant design chang...

This work presents a general framework taking into account system and components reliability in a Model Predictive Control (MPC) algorithm. The objective is to deal from an availability point of view with a closed-loop system combining a deterministic part related to the system dynamics and a stochastic part related to the system reliability. The main contribution of this work consists in integ...

pavement design using mechanistic-empirical methods is often carried out based on the some assumptions for pavement layer's properties (thickness, elastic modulus, poisson's ratio and ….), loading properties(axial weight, tire coordinates, number of repetitions and …) and also the failure mechanism for different materials. fulfillment of these assumptions for evolution of pavement performance d...

An efficient reliability assessment approach is used to estimate the reliability of a return expansion joint. This component is part of a large power generation system. In order to perform the reliability assessment task, Computational Fluid Dynamics (CFD), Finite Element Method (FEM), Fatigue analysis, and Monte Carlo Simulation (MCS) tools are integrated. The process starts with CFD simulatio...

Reliability is one of the key problems of an automatic system, especially to the huge, complex, multiple target-based, safety critical and reliability-dependent train control system. A system reliability analysis method based on a dynamic fault tree was proposed to analyse possible fault causes of a whole system in a HLA (High Level Architecture) simulation platform, and according to the princi...

Reliability methods are probabilistic algorithms for quantifying the effect of uncertainties in simulation input on response metrics of interest. In particular, they compute response function distribution statistics (probability, reliability, and response levels) based on specified probability distributions for input random variables. Thus, these reliability methods provide a capability for unc...

Traditional Multidisciplinary Design Optimization (MDO) generates deterministic optimal designs, which are frequently pushed to the limits of design constraint boundaries, leaving little or no room to accommodate uncertainties in system input, modeling, and simulation. As a result, the design solution obtained may be highly sensitive to the variations of system input which will lead to performa...

Traditional Multidisciplinary Design Optimization (MDO) generates deterministic optimal designs, which are frequently pushed to the limits of design constraint boundaries, leaving little or no room to accommodate uncertainties in system input, modeling, and simulation. As a result, the design solution obtained may be highly sensitive to the variations of system input which will lead to performa...

Due to the prolonged use of wind turbines they must be characterized by high reliability. This can be achieved through a rigorous design, appropriate simulation and testing, and proper construction. The reliability prediction and analysis of these systems will lead to identifying the critical components, increasing the operating time, minimizing failure rate, and minimizing maintenance costs. T...

Advances in nano-electronics VLSI manufacturing technology and the rapid downscaling of the size of logic circuits have made them more prone to errors. This has led to the need for fast circuit reliability evaluation of large logic circuits. In this paper a new method for reliability analysis of VLSI logic circuits based on a modified form of Mason’s rule is proposed. Utilizing matrix sparsity ...