Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973682
Yue Ma, Quanmin Zhu, Q. Yan, Hailiang Zheng, A. Winfield
Locomotion is the fundamental characteristics of miniature tracked unmanned ground vehicle (TUGV), and this paper presented the locomotion characteristics of TUGV based on the theory of terramechanics. Firstly, model of TUGV in longitudinal motion wa s established, which demonstrates the relationship of motor current, motor torque and driving force. Subsequently, longitudinal slip/skid characteristics of one track was modeled and based on which turning characteristics of TUGV with two tracks were proposed correspondingly. Finally, experiments were carried out to de monstrate the developed methodology and procedure, which proved the significant validity on the conditions affecting turning radius.
{"title":"Terramechanics-based modeling of locomotion characteristics of miniature tracked unmanned ground vehicle","authors":"Yue Ma, Quanmin Zhu, Q. Yan, Hailiang Zheng, A. Winfield","doi":"10.1109/ICMIC.2011.5973682","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973682","url":null,"abstract":"Locomotion is the fundamental characteristics of miniature tracked unmanned ground vehicle (TUGV), and this paper presented the locomotion characteristics of TUGV based on the theory of terramechanics. Firstly, model of TUGV in longitudinal motion wa s established, which demonstrates the relationship of motor current, motor torque and driving force. Subsequently, longitudinal slip/skid characteristics of one track was modeled and based on which turning characteristics of TUGV with two tracks were proposed correspondingly. Finally, experiments were carried out to de monstrate the developed methodology and procedure, which proved the significant validity on the conditions affecting turning radius.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126454178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973731
Liu Gang, Wang Xing-cheng, Zheng Kai, Yang Ming
The gel method is used in the experiment to prepare titanium film on the surface of quartz glass printed with comb silver electrodes, and by sintering, a series of humidity-sensitive elements are obtained. Taking equivalent circuit model parameters of Titania humidity sensor as optimizing object, an equivalent circuit optimization method is proposed based on improved genetic algorithm. Elitist strategy is added in select option of algorithm, and fitness function is suitably adjusted. Thereby, operational efficiency and accuracy of the algorithm are enhanced. Fitting curves and fitness function plots are obtained. The correctness of equivalent circuit is proved intuitionally by fitting curves. And the operating effects of algorithm are even more clearly expressed by fitness function plots. At the same time, the iterative method is used to compute parameter values of the equivalent circuit.
{"title":"Optimization of Titania humidity sensor model by improved genetic algorithms","authors":"Liu Gang, Wang Xing-cheng, Zheng Kai, Yang Ming","doi":"10.1109/ICMIC.2011.5973731","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973731","url":null,"abstract":"The gel method is used in the experiment to prepare titanium film on the surface of quartz glass printed with comb silver electrodes, and by sintering, a series of humidity-sensitive elements are obtained. Taking equivalent circuit model parameters of Titania humidity sensor as optimizing object, an equivalent circuit optimization method is proposed based on improved genetic algorithm. Elitist strategy is added in select option of algorithm, and fitness function is suitably adjusted. Thereby, operational efficiency and accuracy of the algorithm are enhanced. Fitting curves and fitness function plots are obtained. The correctness of equivalent circuit is proved intuitionally by fitting curves. And the operating effects of algorithm are even more clearly expressed by fitness function plots. At the same time, the iterative method is used to compute parameter values of the equivalent circuit.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134043675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973740
Yun Du, Hui-Qin Sun, Xueli Wu, Dong-hui Liu
DCS provides a powerful hardware and software platform for advanced control for its popularity and improvement. To take full advantage of DCS system, this paper proposes an adaptive fuzzy-neural controller considering of the characteristics of the complex industrial processes. It focuses on the hybrid learning algorithm of adaptive fuzzy and neural network. It uses the interface and programming language of DCS to study the advanced control, and comprises of artificial intelligence, expert system, and fuzzy neural network control. The effectiveness of the proposed scheme is illustrated through simulation and the practical usage of complex in resistance furnace temperature control system. It is proven its feasibility and achieves satisfactory control effect.
{"title":"Realization of adaptive fuzzy neural networks intelligence coordination control system on DCS","authors":"Yun Du, Hui-Qin Sun, Xueli Wu, Dong-hui Liu","doi":"10.1109/ICMIC.2011.5973740","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973740","url":null,"abstract":"DCS provides a powerful hardware and software platform for advanced control for its popularity and improvement. To take full advantage of DCS system, this paper proposes an adaptive fuzzy-neural controller considering of the characteristics of the complex industrial processes. It focuses on the hybrid learning algorithm of adaptive fuzzy and neural network. It uses the interface and programming language of DCS to study the advanced control, and comprises of artificial intelligence, expert system, and fuzzy neural network control. The effectiveness of the proposed scheme is illustrated through simulation and the practical usage of complex in resistance furnace temperature control system. It is proven its feasibility and achieves satisfactory control effect.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127259536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973714
M. Pawełczyk, M. Latos, M. I. Michalczyk, K. Czyz, K. Mazur
For environments subject to high level acoustic noise communication between people is difficult. This bemuses workers, limits working efficiency, and may even lead to accidents. Additionally, prolonged exposure to such noise results in damage to the human hearing system. A better isolation of people from the noisy machines is frequently technologically unfeasible or very expensive. Communication headsets available on the market are not ergonomic. On the other hand, they are not accepted in warm and humid environments because wearing them may cause skin galls. Therefore, at some places in mines, power plants, car factories, assembly lines, etc., the workers use earplugs made from an elastic noise absorbing material, and communication between them is limited to a set of gestures only. The aim of the paper is to present NoiseCom — a complex ergonomic earplug-based communication-improvement solution, integrating high passive and active noise reduction, enhancement of speech intelligibility and wireless speech transmission for a group of workers. Developed algorithms are presented and obtained results are reported based on recordings in real industrial conditions.
{"title":"An efficient communication system for noisy environments","authors":"M. Pawełczyk, M. Latos, M. I. Michalczyk, K. Czyz, K. Mazur","doi":"10.1109/ICMIC.2011.5973714","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973714","url":null,"abstract":"For environments subject to high level acoustic noise communication between people is difficult. This bemuses workers, limits working efficiency, and may even lead to accidents. Additionally, prolonged exposure to such noise results in damage to the human hearing system. A better isolation of people from the noisy machines is frequently technologically unfeasible or very expensive. Communication headsets available on the market are not ergonomic. On the other hand, they are not accepted in warm and humid environments because wearing them may cause skin galls. Therefore, at some places in mines, power plants, car factories, assembly lines, etc., the workers use earplugs made from an elastic noise absorbing material, and communication between them is limited to a set of gestures only. The aim of the paper is to present NoiseCom — a complex ergonomic earplug-based communication-improvement solution, integrating high passive and active noise reduction, enhancement of speech intelligibility and wireless speech transmission for a group of workers. Developed algorithms are presented and obtained results are reported based on recordings in real industrial conditions.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125576650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973676
Xi Zhang, Shihe Chen, Yaqing Zhu, Weiwu Yan
A novel fault detection and diagnosis method based on kernel generalized discriminant analysis (kernel GDA, KGDA) is proposed in order to solve the problem of turbine fault detection and diagnosis. Through kernel GDA, the data is mapped from original space to the high-dimensional feature space. Then the statistic distance between normal data and test data is constructed to detect whether a fault is occurring. If a fault has occurred, similar analysis is used to identify type of the faults. The proposed method is scalable to different steam turbine and rotating machineries. Its effectiveness is evaluated by simulation results of vibration signal fault dataset.
{"title":"Fault detection and diagnosis for steam turbine based on kernel GDA","authors":"Xi Zhang, Shihe Chen, Yaqing Zhu, Weiwu Yan","doi":"10.1109/ICMIC.2011.5973676","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973676","url":null,"abstract":"A novel fault detection and diagnosis method based on kernel generalized discriminant analysis (kernel GDA, KGDA) is proposed in order to solve the problem of turbine fault detection and diagnosis. Through kernel GDA, the data is mapped from original space to the high-dimensional feature space. Then the statistic distance between normal data and test data is constructed to detect whether a fault is occurring. If a fault has occurred, similar analysis is used to identify type of the faults. The proposed method is scalable to different steam turbine and rotating machineries. Its effectiveness is evaluated by simulation results of vibration signal fault dataset.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122218482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973753
Yucheng Wei, He Huang, Z. Weng, Xiaofan Wang
This paper introduces a model that agents use an information updating rule combining non-Bayesian learning and Bayesian learning in a social network. Signals from some distinguishing individuals aggregate through the network so that every agent could collect enough information about the true state. The observation from expert Bayesian agents will drive the average belief of the true state in the network convergence with possibility of 1 as time grows infinite. Instead of using a fully Bayesian manner, we choose a linear combination of some neighbor's Bayesian observation and the other's view directly. Under some mild assumption of existing at least an expert agent, the agent's beliefs of the underlying state of the world will increase by time, and the possibility of all agent's beliefs finally convergence to the underlying true state of the world become 1.
{"title":"The power of the minority-partly Bayesian update in non-Bayesian social learning","authors":"Yucheng Wei, He Huang, Z. Weng, Xiaofan Wang","doi":"10.1109/ICMIC.2011.5973753","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973753","url":null,"abstract":"This paper introduces a model that agents use an information updating rule combining non-Bayesian learning and Bayesian learning in a social network. Signals from some distinguishing individuals aggregate through the network so that every agent could collect enough information about the true state. The observation from expert Bayesian agents will drive the average belief of the true state in the network convergence with possibility of 1 as time grows infinite. Instead of using a fully Bayesian manner, we choose a linear combination of some neighbor's Bayesian observation and the other's view directly. Under some mild assumption of existing at least an expert agent, the agent's beliefs of the underlying state of the world will increase by time, and the possibility of all agent's beliefs finally convergence to the underlying true state of the world become 1.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124201864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973709
Qiuju Jia, Zengqiang Chen
Neuron is the basic unit function of neuron system and information processing. Studying the initiation of action potential and firing patterns is useful to understand the mechanism of neural coding. Recently, the chaotic synchronization of neuron networks has been an urgent problem in neuroscience. Researches have shown that the synchronization of coupled neuron network has a close relationship Parkinson's disease and epilepsy. In this paper, we analyze the non-identical Hindmarsh-Rose neuron model coupled network with identical initial conditions and non-identical parameter set. Studying the role of network connection types and the coupling strength to the synchronization of neuron network may play a significance role to neuroscience and clinical medicine research.
{"title":"Coupled network synchronization of non-identical Hindmarsh-Rose model","authors":"Qiuju Jia, Zengqiang Chen","doi":"10.1109/ICMIC.2011.5973709","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973709","url":null,"abstract":"Neuron is the basic unit function of neuron system and information processing. Studying the initiation of action potential and firing patterns is useful to understand the mechanism of neural coding. Recently, the chaotic synchronization of neuron networks has been an urgent problem in neuroscience. Researches have shown that the synchronization of coupled neuron network has a close relationship Parkinson's disease and epilepsy. In this paper, we analyze the non-identical Hindmarsh-Rose neuron model coupled network with identical initial conditions and non-identical parameter set. Studying the role of network connection types and the coupling strength to the synchronization of neuron network may play a significance role to neuroscience and clinical medicine research.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114472921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973679
Guangming Zhang, Ning Li, Shaoyuan Li
In this paper, a novel data-driven approach is presented to monitor processes influenced by gradual small shifts. The primary idea is to first build multivariate exponentially weighted moving average (MEWMA) model based on the originally measured variables to keep the memory effect of the process trend. Then introduce a unified Mahalanobis distance based monitoring statistic, which makes full use of the feature of the normal distribution of the process variables, to better capture the deviation of the process variables. A case study of the Tennessee Eastman process (TEP) is used to demonstrate the superiority of the proposed method over other conventional ones in performance and workload of the gradual small shifts monitoring.
{"title":"A modified multivariate EWMA control chart for monitoring process small shifts","authors":"Guangming Zhang, Ning Li, Shaoyuan Li","doi":"10.1109/ICMIC.2011.5973679","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973679","url":null,"abstract":"In this paper, a novel data-driven approach is presented to monitor processes influenced by gradual small shifts. The primary idea is to first build multivariate exponentially weighted moving average (MEWMA) model based on the originally measured variables to keep the memory effect of the process trend. Then introduce a unified Mahalanobis distance based monitoring statistic, which makes full use of the feature of the normal distribution of the process variables, to better capture the deviation of the process variables. A case study of the Tennessee Eastman process (TEP) is used to demonstrate the superiority of the proposed method over other conventional ones in performance and workload of the gradual small shifts monitoring.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129999984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973673
A. Zhu-Feng, B. Zhu-WeiHua, C. Xue-yuan, D. Yan-JunLai, Edward Hanna
Based on the finite element analysis with centered finite difference, this paper focuses on 3-D analysis of three kinds of shaped charge penetrating to concrete. The process of forming penetrators is depicted in the test together with the process of penetration, which shows that under the same condition of diameter, the one with higher axis can form the rod-shaped penetrator with high velocity, large slenderness and rational mass distribution, but the effectiveness of caviting is much worse than the other two. Under the concrete model of Johnson-Holmquist-Concrete(JHC), the process of concrete board damage are analyzed, and we also obtained the data related to the depth and the cavity radius at the same time. Penetration and damage of concrete target simulated agree well with test-data, which indicate that: the simulation in this paper is feasible and reliable.
{"title":"Numerical simulation of ellipsoid shaped charge penetrating concrete","authors":"A. Zhu-Feng, B. Zhu-WeiHua, C. Xue-yuan, D. Yan-JunLai, Edward Hanna","doi":"10.1109/ICMIC.2011.5973673","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973673","url":null,"abstract":"Based on the finite element analysis with centered finite difference, this paper focuses on 3-D analysis of three kinds of shaped charge penetrating to concrete. The process of forming penetrators is depicted in the test together with the process of penetration, which shows that under the same condition of diameter, the one with higher axis can form the rod-shaped penetrator with high velocity, large slenderness and rational mass distribution, but the effectiveness of caviting is much worse than the other two. Under the concrete model of Johnson-Holmquist-Concrete(JHC), the process of concrete board damage are analyzed, and we also obtained the data related to the depth and the cavity radius at the same time. Penetration and damage of concrete target simulated agree well with test-data, which indicate that: the simulation in this paper is feasible and reliable.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130032150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The icing of overhead transmission lines is the main problem for the safety of power grid, It is necessary to establish the model of icing load prediction on overhead transmission lines. The prediction model utilizes the ambient temperature, humidity, wind speed, wind direction, sunlight and air pressure as training data of input, the icing load is the output of prediction model based on Support Vector Machine (SVM). According to the results of simulation, this model is available to the prediction of icing load, even in different process of icing in the same transmission line during a short time. So it is helpful for preventing the disaster of power grid and reducing of economic losses.
{"title":"Icing load prediction for overhead power lines based on SVM","authors":"Qi-mao Li, Peng Li, Qing Zhang, Wenping Ren, M. Cao, Shangfei Gao","doi":"10.1109/ICMIC.2011.5973684","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973684","url":null,"abstract":"The icing of overhead transmission lines is the main problem for the safety of power grid, It is necessary to establish the model of icing load prediction on overhead transmission lines. The prediction model utilizes the ambient temperature, humidity, wind speed, wind direction, sunlight and air pressure as training data of input, the icing load is the output of prediction model based on Support Vector Machine (SVM). According to the results of simulation, this model is available to the prediction of icing load, even in different process of icing in the same transmission line during a short time. So it is helpful for preventing the disaster of power grid and reducing of economic losses.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133328897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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