Recent Advances in Electrical & Electronic Engineering - Volume 11, Issue 3, 2018

Background: Given that the device possibly suffers the abnormal condition before it finally reaches the critical failure threshold in the degradation process. Methods: In this paper, an abnormal failure judgment method of the device is proposed based on the performance degradation data itself. In this method, the device degradation process is considered to be an independent incremental process by probabilistic approximation, Read More

Background: This work addresses the maximum edge weight clique problem (MEWC), an important generalization of the well-known maximum clique problem. Methods: The MEWC problem can be used to model applications in many fields including broadband network design, computer vision, pattern recognition, and robotics. We propose a random key genetic algorithm to find good quality solutions for this problem. Co Read More

Background: Chirp signals are widely applied in radar systems, biomedicine, seismic prospecting and many other fields. It is difficult to estimate fast and accurately original frequency and chirp rate of chirp signals because of the existence of stable noise in the echo signals. Methods: In this paper, a parameter estimation method for chirp signals is proposed. Firstly, the impulse characteristics of stable noise in the echo signals is sup Read More

Background: The stationary monocular visual control is a major mode of robot assembly. In this mode, the viewing field is stationary and the target is not detached. Methods: Self-calibration based on the fundamental matrix is first performed on the camera to obtain its linear interior parameters in this paper. Next, a novel stage-wise visual control method is proposed, which adopts different control strategies at different stages. Re Read More

Background: During the microwave heating process, the dielectric property of the heated media changes with temperature and time, and the change of temperature at its Low-Temperature (LT) stage and High-Temperature (HT) stage shows different characteristics obviously. Sometimes, hotspots and thermal runaway occur. Methods: Regular control methods are difficult to effectively control the temperature during the w Read More

Background: Crystal oscillator plays a major role in the RF system as the frequency source while often encountered in vibration condition. In order to maintain the normal operation of the system, implementing estimation and prediction is necessary as a strategy based on performance degradation. However, there is little research addressing the issues associated with health status evaluation and Residual Useful Life (RU Read More

Background: We studied how to control a dual-ring Er-doped fiber laser by shifting the laser loss, pressuring the chaotic behavior of the laser to a periodic state or multi-periodic states. Methods: We present a model of single-parameter control of the laser. When a periodic signal adjusts the loss of one ring, the dynamic behavior of the laser can stabilize into period-one states and the dualring output variation locks at the adju Read More

Background: A new methodology is developed for bipartite matching decision, in which preferences of the agents from two sides are incomplete ordinal relations and matching aspirations. The bipartite matching problem with incomplete ordinal relations and matching aspirations is firstly provided. Methods: In the presented methodology, the incomplete ordinal relations are translated to the incomplete Borda counting mat Read More

Background: Power quality problems are identified in voltages and currents and are, mainly, classified in harmonics, transients, and voltage sags. Besides current harmonics, voltage sags is the most common type of issue especially with manufacturing consumers. To define voltage sags, they are shortduration reduction in the rms voltage and they are mostly induced by remote short circuit. Determining the critical distance of Read More

Background: Demagnetization limitation of permanent magnets is the maximum demagnetization rate, and it is not only influenced by motor overload capacity, but also influenced by winding limit temperature and permanent magnet limit temperature. It has important significance to study the influence of demagnetization limitation on motor whole life cycle management. Methods: In this paper, the finite element met Read More

Background: To achieve the goal of automatic generation control of better system frequency regulation and to control the tie-line active power deviations, this paper presents a genetic algorithm optimized model predictive control (GA-MPC) scheme for load frequency regulation of two area interconnected power systems. Methods: Three different power systems: thermal-thermal system, thermal-nuclear system and thermal Read More

Background: Recently, the incorporation of Distributed Static-Compensator and Distributed Generation in distribution system has become essential for the distribution companies to be adopted for the overall system benefit. In this study, the optimal sizing and siting of these devices are conducted in distribution system using Modified Shuffled Frog Leaping Algorithm to maximize the technical, economic, and environment Read More

Background: It presents a kind of multi-class image classification algorithm which is combined with Best Versus Second Best (BVSB) active learning technology and improved self-training semi-supervised learning technology. Methods: The algorithm integrates the advantages of active learning; semi-supervised learning and extreme learning machine simultaneously. It has better performance than that of single algorithm when it Read More

Background: In the traditional design, parameters of the gear pump cover are based on the minimum thickness and gear shaft parameters, with shortcoming of wasting material and designing roughly. It is necessary to verify the advanced nature of improvement by the contrast in the changes of dynamic characteristics and the fatigue life of before and after changes gear pump cover optimization. Methods: the dynami Read More

Background: The hardware implementation of neural networks has been the focus of the researchers during the last few years. The main aim is to obtain all the features possessed by the biological neural networks not possible through software approach. In the past few years, several attempts have been made for the hardware implementation of neural networks but most of them have been designed using off-the-shelf compon Read More