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Asset management is an important topic in all fields especially in power system which has very high investment costs and very expensive elements. Reliability Centered Asset Management (RCAM) is an effective technique to perform the power system asset management with quantitative methods such that, on the one hand, the total cost is minimized and, on the other hand, the reliability of the system is...
In distribution system planning studies, reliability evaluation is performed during optimization procedure to calculate the interruption cost, DISCO's income and to check the viability of constraints related to reliability indices. In each iteration of the optimization algorithm a special plan is evaluated that is different from other plans. So the configuration and specification of the network which...
This paper proposes a new methodology to solve the transmission expansion planning (TEP) problem based on relaxed N-1 criteria. An optimization technique is used to determine the best TEP plans through an adaptive multi-operator evolutionary approach. These plans are obtained by ensuring the N-1 security criterion and also relaxing it to accept pre-specified levels of equipment overload. The major...
This paper proposes an interesting three-stage algorithm targeting at highly reliable high dimension composite system reliability evaluation using Importance Sampling (IS). The central idea is at the first stage (the Screening stage) picking out those bottle-neck components which have the most main impact on composite system reliability indexes calculation. The Screening process is specially customized...
Connectivity of network is the premise of service quality for P2P network. In order to ensure each node has connected to the P2P network, this paper proposes an algorithm for Peer-to-Peer Overlay Network Topology Automatic-Restoration. When a node detects an abnormal connection of its neighbor node, it connects the neighbor node's standby node to ensure the correctness and connectivity of the network...
This article applied the methodology proposed for the study of mechanical and thermal processes occurring in the receiver-computer units (RCU) for unmanned aerial vehicles (UAV). This method provides for a mechanical and thermal simulation in two stages by means of subsystems ASONIKA-T, ASONIKA-M-3D (for the study unit with the construction of thermal and mechanical macro models) and ASONIKA-TM (for...
To meet different communication requirements, a smart grid communication framework based on a hybrid network has been widely used. Virtual networks are established for various types of services respectively, and are embedded into heterogeneous substrate networks. Based on the framework, wireless network virtual mapping algorithm based on particle swarm optimization is proposed. In this scheme, the...
Due to the promotion of the globalization of environmental protection process, some high reliability requirements of electronic products have to be passive to the backward compatible soldering process. Compared to the traditional Sn-Pb soldering process, the backward compatible soldering process has to face with a smaller process window and a higher process implementation difficulty. In this paper,...
With the rapid development of science and technology, and the continuous improvement of industrial manufacturing and reliability, the quantitative assessment of reliability and life is very important. As a kind of high-reliability and long-life product, film capacitor is widely used in communication, locomotive, and wind power generation, etc. Such a situation presents higher requirements for the...
A reliability optimization allocation method for multifunctional systems using Hybrid Particle Swarm Optimization (HPSO) is proposed in this paper. First, researchers established a mathematical model for system reliability optimization allocation with the constraints of multi-function failure rates. Then, the HPSO was used to solve the optimization allocation model for multifunctional systems. Finally,...
Brushless direct current (BLDC) motors are usually designed for long-term operation and have high experimental costs and less test data than other motors. In the traditional performance and reliability analysis, the performance and reliability are generally analyzed separately. However, when one of these cannot meet the requirements, researchers usually have to redesign the system. In order to solve...
Due to the ever rising energy demand accompanied by the unsustainable nature of fossil fuels a prototype shift has evolved from fossil fuelled units to clean energy resources. Microgrids which are amalgamation of clean energy resources with non renewable conventional units are becoming popular nowadays. From operational point of view, optimal planning of microgrid is necessary. Reasonably selecting...
The feasibility, scalability and performance of Internet-oriented Software Defined Network (SDN) are confronted with severe challenge, so it needs multiple controllers that influence every aspect of SDN performance. An effective placement algorithm of these controllers is especially important. In this paper, we formulate the Multiobjective Optimization Controller Placement (MOCP) problem and focus...
In this paper, we are interested in the Web service classification. We propose a classification method that first uses a stochastic local search (SLS) meta-heuristic for feature selection then call the Support Vector Machine (SVM) to do the classification task. The proposed method that combines SLS and SVM for Web service classification is validated on the QWS Dataset to measure its performance. We...
Surrogate based optimization provides an efficient approach for expensive optimization requiring either costly experiments or time consuming simulations. However, a “good” surrogate model requires lots of training data which is impractical in applications. This work proposes an evolving algorithm, POSER, combining a progressive Kriging model and a constrained search in the dynamic reliable regions...
The choice of maintenance strategy is a common problem in reliability engineering, and proper maintenance strategies can improve the efficiency of maintenance and save maintenance cost to some extent. There are many papers on the selection and optimization of maintenance strategies. Most of them considered the problem from the system level, and ignored the difference between different components....
Aiming at the problem of reliability redundancy design algorithm, this paper presents an adaptive particle swarm optimization algorithm with foraging behavior. In this method, the bacterial foraging process is introduced into the adaptive particle swarm optimization algorithm, which can give the function of particle movement and turning, improve the ability of local search and avoid premature behavior...
System availability-based design optimization is closely linked with its economy. Under conditions that the life of components follows Weibull distribution, design cost function, manufacturing cost function and maintenance support cost function are presented respectively for a multi-unit system which is composed of identical units. Based on the principle of cumulative failure probability equality,...
From the space and time dimension, the FPGA circuit is devised some levels with “computing unit + memory/register” via analyzing the characteristics of the FPGA circuit. Combined with the location importance, the connection degree among the nodes and their own soft error probability, an importance analysis model is proposed. And then the testing points are optimized based on the importance of each...
In this paper, a new condition-based maintenance method of game for the aircraft fleet is proposed. In hope of successfully deploying the aircraft fleet, some game rules are set, which prompts the generation of maintenance strategy. And the problem is transformed into a multi-phased combinatorial optimization problem. Then an algorithm of multi-stage sequential game that based on state backtracking...
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