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Full-Text Articles in Engineering
Wood Structure Nondestructive Detection Based On Singular Spectrum Analysis And Svm, Guoxiong Zhou, Aibin Chen, Xianyan Zhou
Wood Structure Nondestructive Detection Based On Singular Spectrum Analysis And Svm, Guoxiong Zhou, Aibin Chen, Xianyan Zhou
Journal of System Simulation
Abstract: In view of unknown defect of wood component defect, a method of wood structure nondestructive recognition based on Singular spectrum analysis and SVM was proposed. The wood specimen was tested to obtain the test signal by ultrasonic testing instrument. In order to eliminate the testing effect of the tester gain control and defect size, angle variation on the test defect echo amplitude, the abnormal fluctuation was to filter and characteristic of the original signal was extracted by singular spectrum analysis, and SVM could train the parameters and distinguish the wood defects. Simulation results show that the proposed method …
Combinatorial Optimization Of Resolution Level In Three-Dimensional Visualization, Yanyang Zeng, Zhenhai Yu, Weidong Liu
Combinatorial Optimization Of Resolution Level In Three-Dimensional Visualization, Yanyang Zeng, Zhenhai Yu, Weidong Liu
Journal of System Simulation
Abstract: In the process of developing three-dimensional visualization, it is necessary to select and adjust the combined solutions of the resolution hierarchy of multiple models. If only by artificial attempting will lead to the more times of iteration and lower design efficiency, therefore, a method, combinatorial optimization of models' resolution level, is proposed. Image information entropy is introduced for evaluating the image quality of the scene. According to the assessed value of visual effects and it is provided to the above method based on particle swarm optimization (PSO), the models with the resolution hierarchy can be matched and reorganized. Through …
Application Of Pso-Bp Algorithm In Hydraulic System Fault Diagnosis, Handong Zhang, Liusong Tao
Application Of Pso-Bp Algorithm In Hydraulic System Fault Diagnosis, Handong Zhang, Liusong Tao
Journal of System Simulation
Abstract: It is of great significance to monitor, forecast and diagnose hydraulic systems’ fault timely and accurately. First, this paper describes the basic fault model theoretical knowledge of BP neural neystem failure neural network modeling has created and simulated. PSO-BP neural network has been raised, this paper has established PSO optimize model of the BP neural system fault diagnosis. BP network has been created and simulated in Plunger pump hydraulic system failure. The correct results indicate that this mixed PSO-BP algorithm is better than the improved BP algorithm, and can meet the requirements of Hydraulic system fault diagnosis.
Adaptive Harmony Pso Based Trusted Qos Routing Scheme, Xinxin Sun, Xingwei Wang, Huang Min
Adaptive Harmony Pso Based Trusted Qos Routing Scheme, Xinxin Sun, Xingwei Wang, Huang Min
Journal of System Simulation
Abstract: With the continuous expansion of the network scale and the growing number of new applications, the Internet is faced with the challenges of security, dynamicity, heterogeneity and other problems. The emergence of new businesses brings higher demands on network quality of service (QoS) than before. At the same time, a huge amount of network security problems lead to people not being trusted on network. The trustworthiness of the networks and the QoS routing were investigated. A trusted QoS routing scheme based on adaptive harmony PSO search algorithm was proposed with QoS satisfaction degree and trustworthiness value satisfaction degree considered …
Research On Identification Of Induction Motor Parameters Ased On Nameplate Data And Pso, Xingwu Wang, Bingshu Wang, Zhaoyan Zhang, Zhibin Liu
Research On Identification Of Induction Motor Parameters Ased On Nameplate Data And Pso, Xingwu Wang, Bingshu Wang, Zhaoyan Zhang, Zhibin Liu
Journal of System Simulation
Abstract: A new method was proposed based on motor nameplate and particle swarm optimization (PSO) for identification of motor equivalent circuit parameters. The method effectively solved to present problems of motor equivalent circuit parameters identification method. An accurate motor equivalent circuit was built by introducing an equivalent stray-loss resistance, mechanical loss, and slip loss of ring brushes for wound motor. An identification optimization model of equivalent circuit was established based on motor nameplate parameters and motor equivalent circuit’s calculating parameters. Solving optimization model with PSO was achieved a higher probability optimization goals. The motor electrical parameters were calculatd at …
Potato Storage Temperature Prediction Control Based On Pso And Esns, Junxia Liu, Xinrong Xiong, Hu Bing
Potato Storage Temperature Prediction Control Based On Pso And Esns, Junxia Liu, Xinrong Xiong, Hu Bing
Journal of System Simulation
Abstract: According to the current situation of potato storage and serious waste of raw materials and human resources of potato processing enterprises, combined with temperature data characteristics of potato storage from Xinjiang Great Russell Agricultural Science and Technology Development LTD., and control effect of the conventional control methods which is not ideal, a new temperature predictive control method was proposed, which rolled to optimize the input control variable by using particle swarm optimization algorithm and get the actual output values, use ESNs to forecast the temperature in the storage, the system was corrected by deviation between forecasting output and actual …
Adaptive Mutative Scale Chaos Particles Swarm Optimization Based On Logistic Mapping, Yanyang Zeng, Yunxia Feng, Wentao Zhao
Adaptive Mutative Scale Chaos Particles Swarm Optimization Based On Logistic Mapping, Yanyang Zeng, Yunxia Feng, Wentao Zhao
Journal of System Simulation
Abstract: To overcome the shortcomings of Particle Swarm Optimization (PSO), an Adaptive Mutative Scale Chaos Particles Swarm Optimization (ACPSO) based on Logistic Mapping was proposed. The chaos method was used to initialize the particles. The adjustment method of the inertia weight depended on the particle's fitness; it could avoid premature convergence for the particles. When the particles fell into the local optimum, mutative scale chaos optimization strategy was adopted to adjust the optimal particles. To test the effectiveness of the algorithm, three representative algorithms were compared with. The results show that the algorithm has high convergence speed and high precision.
Research And Implementation On Source Term Estimation Methods Of Pollution In Chemical Parks, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Rongxiao Wang, Xiaogang Qiu
Research And Implementation On Source Term Estimation Methods Of Pollution In Chemical Parks, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Rongxiao Wang, Xiaogang Qiu
Journal of System Simulation
Abstract: Studying the source term estimation methods of pollution in chemical clusters is effective to avoid accidents, since biochemical disasters have brought great loss to human beings. Safety monitoring of chemical industry parks was modeled via unmanned aerial vehicle (UAV) monitoring system, inverse problem model, ridge regression model, and particle swarm optimization algorithm. Based on that, a practical case was given to analyze results of experiment. Research findings are helpful for risk assessments and emergency management.