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In order to improve the sampling efficiency of the non-sequential Monte Carlo simulation method, an improved hybrid method combining the analytical method and the significant Latin hypercube sampling method is proposed based on the idea of state space partitioning. The method partitions the system state space based on the determination of the significant state subspace to avoid sampling the zero-f...Show More
In order to improve the computational efficiency of structural reliability analysis under random and interval uncertainties, a hybrid sampling method is proposed in this paper. The basic idea of the proposed method is to integrate the Bucher experimental design and Latin hypercube sampling (LHS). Firstly, the sampling of random variables and the sampling of interval variables are respectively cond...Show More
Simulation and sampling are both important and widely used techniques in the research of networks. Scholars have already developed a variety of packet sampling techniques. However, few of these are focused on network reliability, especially in the simulation situation. In this paper, the necessity of using packet sampling techniques when evaluating network reliability in the simulation environment...Show More
The reliability of power grid is important for power system safety. In order to evaluate the reliability of power system quickly, this paper provides the method which combined improved Monte Carlo simulation and parallel calculation. Firstly, importance sampling method is used to change the distribution function of original sample space. Secondly, Latin hypercube sampling method is used to sample ...Show More
In this paper, Latin hypercube sampling (LHS) is investigated in connection with reliability evaluation of a power system. A new sampling technique called discrete Latin hypercube (DLHS) is also proposed. Distributions of reliability indexes resulting from two sampling techniques are presented and analyzed along with those from Monte Carlo (MC) sampling. A comparison among LHS, DLHS and traditiona...Show More
For reliability analysis of complex structures with time-consuming implicit performance functions, the computational cost required by direct sampling methods is usually unaffordable for engineering applications. However, the adaptive metamodel embedded in sampling methods can significantly improve reliability analysis efficiency. Therefore, a new metamodel-based directional importance sampling met...Show More
Based on reliability theory of total Probability, with the concept of sample's weighting coefficient, the minimum sample size can be obtained according to the numerical characteristic values of random variables and the minor sample t-distribution estimation under a certain expected value. And then the design of Uniform Experimental is used to system analysis, which can greatly reduce the number of...Show More
The Kriging model has been widely explored in structural reliability analysis. Multiple sampling strategies combining the Kriging model are researched to alleviate the computational burden, especially in finite element analysis. In this paper, a novel sampling strategy is proposed to update the Design of Experiments (DoE) by combining Kriging and Maximin design. Maximin design is an experimental d...Show More
The reliability of today's electronic products suffers from a growing variability of failure and ageing effects. In this paper, we investigate a technique for the efficient derivation of uncertainty distributions of system reliability. We assume that a system is composed of unreliable components whose reliabilities are modeled as probability distributions. Existing Monte Carlo (MC) simulation-base...Show More
As a siding structure widely used in the aerospace field, the vibration analysis is carried out independently without considering the ambient temperature, which can’t be attached to the actual engineering. This paper firstly summarizes a reliability analysis method based on stratified sampling, and then takes the titanium alloy panel structure as the research object, analyzes its structural respon...Show More
This paper proposes improvements in the sequential Monte Carlo (MC) simulation based approaches for reliability evaluation of composite generation and transmission systems. The main idea is to compute a threshold load level to facilitate the process of state evaluation, which is very time-consuming mainly due to optimal power flow computations. Two main sampling techniques namely random sampling (...Show More
In view of the high development cost of the Long March series of launch vehicle and the difficulty of implementing reliability tests, a small sample reliability sampling method based on composite equivalency Bayesian fusion is proposed. First, in order to avoid large amounts of prior data submerging the field data with small sample, a comprehensive use of physical equivalency credibility and data ...Show More
An improved Latin hypercube sampling method is proposed to solve the problems of low computational efficiency and the correlation between computational time, amount of computation, and evaluation accuracy in the sequential Monte Carlo simulation for reliability evaluation of generation and transmission systems. The optimal multiplier is used to modify the approximate optimal parameter distribution...Show More
Assessing reliability of software programs during validation is a challenging task for engineers. The assessment is not only required to be unbiased, but it needs to provide tight variance (hence, tight confidence interval) with as few test cases as possible. Statistical sampling is a theoretically sound approach for reliability testing, but it is often impractical in its current form, because of ...Show More
Testing software to assess or improve reliability presents several practical challenges. Conventional operational testing is a fundamental strategy that simulates the real usage of the system in order to expose failures with the highest occurrence probability. However, practitioners find it unsuitable for assessing/achieving very high reliability levels; also, they do not see the adoption of a “re...Show More
In this paper, an optimal reliability allocation (ORA) model of ±800 kV ultra-high voltage direct current (HVDC) transmission system is proposed. The model intends to provide the means to determine the availability requirements of components in the bidding process of ±800 kV ultra HVDC transmission projects. In this model, the component availability is optimized based on the prespecified system re...Show More
Computing capability demand has grown massively in recent years. Modern GPU chips are designed to deliver extreme performance for graphics and for data-parallel general purpose computing workloads (GPGPU computing) as well. Many GPGPU applications require high reliability, thus reliability evaluation has become a crucial step during their design. State-of-the-art techniques to assess the reliabili...Show More
It is analyzed that the high reliability demand of ordnance software and the safety evaluation of military software are necessary, and the safety evaluation indicates are confirmed. It is provided that the software safety test and evaluation model utilize the software safety test data getting from the test procedure based on the importance sampling and acceleration testing, to get the evaluation r...Show More
Finding the causes of outages and the most suitable solution for reducing them, in an economically optimal way, has always been one of the main challenges for electricity distribution companies. However, due to the variety of climate conditions, diversity in the structure, equipment, and facilities of each distribution network, as well as the difference in preventive and maintenance programs, ther...Show More
As its sampling frequency is independent of the scale of the system, Monte-Carlo simulation is widely applied to reliability evaluation of generation and transmission system, which is a complex large system. However, it takes a relatively long period to obtain a higher accurate reliability index. This paper points out that, the combination of Importance sampling method and Discrete Latin Hypercube...Show More
The development of large-scale complex product is a long time process, and the trial cost is high. Therefore, the test data of these products usually presents small sample and multiphase characteristic. To reduce the evaluation error caused by small sample of one phase, a constraint condition, which is the products' reliability increases monotonously, was introduced to products reliability evaluat...Show More
Traditional power system reliability evaluation processes require time-consuming power flow and optimal power flow calculations tools for contingency state analysis. This paper introduces a transformer encoder model designed to enhance the efficiency of contingency state analysis in power system reliability assessments. Additionally, we propose an adaptive Latin hypercube sampling method to genera...Show More
This paper systematically introduces and reviews a scientific exploration of reliability called the belief reliability. Beginning with the origin of reliability engineering, the problems of present theories for reliability engineering are summarized as a query, a dilemma, and a puzzle. Then, through philosophical reflection, we introduce the theoretical solutions given by belief reliability theory...Show More
Computer network reliability testing is an important technology for network reliability evaluation. Focused on reliability testing for computer network applications, the testing profile building method, the sample selection method, the failure criterions setting method and the index evaluation method are researched. Finally, the testing process is explained with a testing case.Show More
Monte-Carlo sampling method in reliability evaluation has defects of great sampling number and low efficiency. This paper proposed control variable method in power system integrated with wind power unit, considering its feather of small unit capacity and large unit number. The proposed method is carried out on the IEEE RTS79 test system, compares with the conventional Monte-Carlo method and the av...Show More

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