ABSTRACT The mixture of Type-I and Type-II censoring schemes, called the hybrid censoring scheme is quite common in life-testing or reliability experiments. In this paper, we investigate the estimation of parameters from two-parameter Lomax distribution based on Type-II progressively hybrid censored samples. Maximum likelihood estimates for the distribution parameters and the reliability indice...

Uncertainty is inevitable in any reliability analysis of complex engineering systems due to uncertainties present in models, parameters of the model, phenomena and assumptions. Uncertainties at the component level are propagated to quantify uncertainty at the system level reliability. It is very important to identify all the uncertainties and treat them effectively to make reliability studies m...

In this paper, a new method for modelling and estimation of reliability parameters of power transformer components in distribution and transmission voltage levels for preventive-corrective maintenance schedule of transformers is proposed. In this method, with optimal estimation of Weibull distribution parameters using least squares method and input data uncertainty reduction, failure rate and p...

abstract - one of the important problems in grid environments is data replication in grid sites. reliability and availability of data replication in some cases is considered low. to separate sites with high reliability and high availability of sites with low availability and low reliability, clustering can be used. in this study, the data grid dynamically evaluate and predict the condition of t...

The soil sorption coefficient Kd and the soil organic carbon sorption coefficient KOC of pesticides are basic parameters used by environmental scientists and regulatory agencies worldwide in describing the environmental fate and behavior of pesticides. They are a measure of the strength of sorption of pesticides to soils and other geosorbent surfaces at the water/solid interface, and are thus d...

Aimed at the reliability problems of arch retaining structure with stochastic parameters, in consideration of the influences of the randomness of the structural parameters and loads, the concrete paper applies program building relevant arch retaining structural model. The simulation programs are based on the response surface method and Monte Carlo method hybrid simulation analysis method. The s...

Parameters Tuning in Support Vector Regression for Reliability Forecasting Wei Zhao,Tao Tao, Enrico Zio c Group 203, School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China Chair on Systems Science and the Energetic Challenge, European Foundation for New Energy-Electricité de France, Ecole Centrale Paris and Supelec, Paris, France Dipartimento di Energia, Po...

The need to obtain objective values of the quality of distorted images with respect to the original is fundamental in multimedia and image processing applications. It is generally required that this value correlates well with the human vision system (HVS). In spite of the properties and the general use of themean square error (MSE) measurement, this has a poor correlation with HSV, which has le...

Software fault analysis is on major vector adopted by different researchers to analyze the software reliability. But most of the author taken the fault individually as the fault criticality or the fault count. But in this presented work we have considered all aspects of software faults i.e. fault count, fault criticality, fault frequency, associatively between faults. In this work a three level...

due to the probabilistic nature and uncertainties of structural parameters, reliability-based optimization will enable engineers to account for the safety of the structures and allow for its decision making applicability. thus, reliability-based design will substitute deterministic rules of codes of practice. space structures are of those types that have an exceedingly high range of applicabili...