Based on the syncretic theory of the radial basal function neural network (RBFNN) and the contractive mapping genetic arithmetic (CMGA), an on-line diagnostic strategy on the motor circuit fault for vehicles was proposed. The fault on the motor drive circuit were simulated by PSpice, the sampling data were regarded as the inputs of RBFNN, and the faults codes on the components of the drive circuit were regarded as the output of RBFNN, the diagnostic strategy on the motor drive circuit was educated and studied by RBF-CMGA. The on-line diagnostic tests on the fault, such as, short circuit and open circuit of on the drive circuit components were made in the cold-starting engine laboratory by the RBF-CMGA syncretic theory. The test results that the diagnostic accuracy could also reach 94.3 %, the error rate is 0.58%, and the rejective rate is 0.15%, which was testified that the diagnostic strategy could carry out the accurate diagnosis and the orientation of the motor drive circuit malfunction, which completely satisfied the motor started successfully and reliably.
{"title":"On-Line Diagnosis of the Motor Circuit Based on RBF-CMGA","authors":"Huo Mingjiang, Qi Liqiao","doi":"10.1109/CINC.2009.266","DOIUrl":"https://doi.org/10.1109/CINC.2009.266","url":null,"abstract":"Based on the syncretic theory of the radial basal function neural network (RBFNN) and the contractive mapping genetic arithmetic (CMGA), an on-line diagnostic strategy on the motor circuit fault for vehicles was proposed. The fault on the motor drive circuit were simulated by PSpice, the sampling data were regarded as the inputs of RBFNN, and the faults codes on the components of the drive circuit were regarded as the output of RBFNN, the diagnostic strategy on the motor drive circuit was educated and studied by RBF-CMGA. The on-line diagnostic tests on the fault, such as, short circuit and open circuit of on the drive circuit components were made in the cold-starting engine laboratory by the RBF-CMGA syncretic theory. The test results that the diagnostic accuracy could also reach 94.3 %, the error rate is 0.58%, and the rejective rate is 0.15%, which was testified that the diagnostic strategy could carry out the accurate diagnosis and the orientation of the motor drive circuit malfunction, which completely satisfied the motor started successfully and reliably.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130870786","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}
This paper presents a kind of all-digital integrated hydraulic actuator unit to drive heavy load object without centralized oil tank. In order to improve the control quality of the actuation system while eliminating or reducing the disturbance, a fuzzy PWM controller is suggested. Simulations on the integrated hydraulic actuator unit are carried out to evaluate the effectiveness of the proposed control method when applied to hydraulic systems with various external disturbances encountered in real working conditions. Simulation results are discussed and some conclusions are given.
{"title":"Fuzzy Logic Control of Integrated Hydraulic Actuator Unit Using High Speed Switch Valves","authors":"L. Jianxin, Tan Ping","doi":"10.1109/CINC.2009.65","DOIUrl":"https://doi.org/10.1109/CINC.2009.65","url":null,"abstract":"This paper presents a kind of all-digital integrated hydraulic actuator unit to drive heavy load object without centralized oil tank. In order to improve the control quality of the actuation system while eliminating or reducing the disturbance, a fuzzy PWM controller is suggested. Simulations on the integrated hydraulic actuator unit are carried out to evaluate the effectiveness of the proposed control method when applied to hydraulic systems with various external disturbances encountered in real working conditions. Simulation results are discussed and some conclusions are given.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122647331","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}
Emotion recognition from Electrocardiography (ECG) signal has become an important research topic in the field of affective computing. In the current work, ECG signals from multiple subjects were collected when film clips shown to them, and then feature sets were extracted from precise location of P-QRS-T wave by continuous wavelet transform (CWT). Hybrid Particle Swarm Optimization (HPSO) was utilized for feature selection, whose discrimination criteria was the correct rate of fisher classifier and the number of features selected. For recognizing two emotions of joy and sadness, effective features and better recognition rate were obviously obtained. Experimental results indicate that the features that acquired from experimental simulation can represent the changes of emotions, HPSO and fisher classifier are effective ways for emotion recognition.
{"title":"A Method of Emotion Recognition Based on ECG Signal","authors":"Ya Xu, Guangyuan Liu","doi":"10.1109/CINC.2009.102","DOIUrl":"https://doi.org/10.1109/CINC.2009.102","url":null,"abstract":"Emotion recognition from Electrocardiography (ECG) signal has become an important research topic in the field of affective computing. In the current work, ECG signals from multiple subjects were collected when film clips shown to them, and then feature sets were extracted from precise location of P-QRS-T wave by continuous wavelet transform (CWT). Hybrid Particle Swarm Optimization (HPSO) was utilized for feature selection, whose discrimination criteria was the correct rate of fisher classifier and the number of features selected. For recognizing two emotions of joy and sadness, effective features and better recognition rate were obviously obtained. Experimental results indicate that the features that acquired from experimental simulation can represent the changes of emotions, HPSO and fisher classifier are effective ways for emotion recognition.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123080641","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}
Fault diagnosis and isolation technology become the key part to guarantee a complex system running normally, such as marine gas turbine. This paper firstly defines fault dependency type and fault dependency relationship graph. Then the notion of fault dependency relationship matrix is given. Addressed to three different fault dependency types, we give the methods how to construct above matrix model and describe the algorithm to identify the relative faults. Based on these, we apply above model and algorithm to LM2500 marine gas turbine in the process of fault diagnosis and isolation. Then the conceptual architecture and fault tree is described. The implemented system interface is given applying above methods.
{"title":"Fault Diagnosis and Isolation Process of Gas Turbine Based on Fault Dependency","authors":"Yongbao Liu, Liangli Ma, Shuhong Huang","doi":"10.1109/CINC.2009.147","DOIUrl":"https://doi.org/10.1109/CINC.2009.147","url":null,"abstract":"Fault diagnosis and isolation technology become the key part to guarantee a complex system running normally, such as marine gas turbine. This paper firstly defines fault dependency type and fault dependency relationship graph. Then the notion of fault dependency relationship matrix is given. Addressed to three different fault dependency types, we give the methods how to construct above matrix model and describe the algorithm to identify the relative faults. Based on these, we apply above model and algorithm to LM2500 marine gas turbine in the process of fault diagnosis and isolation. Then the conceptual architecture and fault tree is described. The implemented system interface is given applying above methods.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130080611","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}
Blending is an important unit operation in process industry. Gasoline blending scheduling is nonlinear optimization problem with constraints. It is difficult to obtain optimum solution by other general optimization methods. Particle swarm optimization (PSO) algorithm is developed for nonlinear optimization problems with both continuous and discrete variables. In order to obtain a global optimum solution quickly, PSO algorithm is applied to solve the problem of blending scheduling under uncertainty. The calculation results illustrate that the PSO algorithm is valid and effective for the gasoline blending scheduling problem under uncertainty.
{"title":"Gasoline Blending Scheduling Based on Uncertainty","authors":"Xiaoqiang Zhao, Ying Wang","doi":"10.1109/CINC.2009.206","DOIUrl":"https://doi.org/10.1109/CINC.2009.206","url":null,"abstract":"Blending is an important unit operation in process industry. Gasoline blending scheduling is nonlinear optimization problem with constraints. It is difficult to obtain optimum solution by other general optimization methods. Particle swarm optimization (PSO) algorithm is developed for nonlinear optimization problems with both continuous and discrete variables. In order to obtain a global optimum solution quickly, PSO algorithm is applied to solve the problem of blending scheduling under uncertainty. The calculation results illustrate that the PSO algorithm is valid and effective for the gasoline blending scheduling problem under uncertainty.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126992491","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}
Applying evolution algorithm to selection of security elliptic curve (EC) is first researched in the paper. In order to ensure the security of elliptic curve cryptosystem (ECC), it is necessary that the elliptic curves are safe against all kinds of attack algorithms about the elliptic curve discrete logarithm problem (ECDLP). Therefore, selection of secure elliptic curves is a mathematics difficult problem. In this paper, selection principles of secure EC are firstly analyzed. Then, based on the selection principle, a selection algorithm of security EC based on evolution algorithm is put forward. The thoughts of encoding, crossover and mutation of evolution algorithm for selection of EC are discussed in detail. The implementation result shows the availability and efficiency of the algorithm.
{"title":"Selection of Security Elliptic Curve Based on Evolution Algorithm","authors":"Maocai Wang, Guangming Dai, Hanping Hu, Lei Pen","doi":"10.1109/CINC.2009.205","DOIUrl":"https://doi.org/10.1109/CINC.2009.205","url":null,"abstract":"Applying evolution algorithm to selection of security elliptic curve (EC) is first researched in the paper. In order to ensure the security of elliptic curve cryptosystem (ECC), it is necessary that the elliptic curves are safe against all kinds of attack algorithms about the elliptic curve discrete logarithm problem (ECDLP). Therefore, selection of secure elliptic curves is a mathematics difficult problem. In this paper, selection principles of secure EC are firstly analyzed. Then, based on the selection principle, a selection algorithm of security EC based on evolution algorithm is put forward. The thoughts of encoding, crossover and mutation of evolution algorithm for selection of EC are discussed in detail. The implementation result shows the availability and efficiency of the algorithm.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127631905","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}
In order to study the adjustability of spark plug gaps in different ignition Systems in search of optimum spark plug gap, traditional contact-controlled inductive storage ignition system and superposing high ignition system were used in BN492QA engine respectively. Performance of the two different ignition systems matching different spark plug gaps were studied through experiments of changing the spark plug gap and compression ratio. The experimental results show that traditional ignition system can only suit 0.7 millimeters spark plug gap and 7.3 compression ratio because of its low spark ignition energy while the superposing high ignition system can match 1.3 millimeters spark plug gap and 7.4 compression ratio. The results also show that big gap spark plug using high ignition system additionally can match high speed and high compression ratio of the engine and be advantageous to the engine knock suppression, and finally the engine performance is improved.
{"title":"Experimental Study on Different Ignition System Matching Different Spark Plug Gap","authors":"Gu Yufeng, Fang Zongde","doi":"10.1109/CINC.2009.169","DOIUrl":"https://doi.org/10.1109/CINC.2009.169","url":null,"abstract":"In order to study the adjustability of spark plug gaps in different ignition Systems in search of optimum spark plug gap, traditional contact-controlled inductive storage ignition system and superposing high ignition system were used in BN492QA engine respectively. Performance of the two different ignition systems matching different spark plug gaps were studied through experiments of changing the spark plug gap and compression ratio. The experimental results show that traditional ignition system can only suit 0.7 millimeters spark plug gap and 7.3 compression ratio because of its low spark ignition energy while the superposing high ignition system can match 1.3 millimeters spark plug gap and 7.4 compression ratio. The results also show that big gap spark plug using high ignition system additionally can match high speed and high compression ratio of the engine and be advantageous to the engine knock suppression, and finally the engine performance is improved.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131593777","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}
This paper deals with the problem of computer analysis algorithm for the extended dynamic leontief input-output model. A new mathematic method is applied to study the singular systems without converting them into general systems. The parameter uncertainties are considered and are assumed to be Markovian jumping system. A new stability criterion for this singular model is given to ensure the stability of singular input-output model in terms of linear matrix inequality which can turn directly into computer control programs. Finally, the computer controller is provided to prove the applicability of the proposed method.
{"title":"Computer Analysis Algorithm for Stability of the Extended Dynamic Leontief Input-output Model","authors":"X. Wu, Lei Jiang","doi":"10.1109/CINC.2009.151","DOIUrl":"https://doi.org/10.1109/CINC.2009.151","url":null,"abstract":"This paper deals with the problem of computer analysis algorithm for the extended dynamic leontief input-output model. A new mathematic method is applied to study the singular systems without converting them into general systems. The parameter uncertainties are considered and are assumed to be Markovian jumping system. A new stability criterion for this singular model is given to ensure the stability of singular input-output model in terms of linear matrix inequality which can turn directly into computer control programs. Finally, the computer controller is provided to prove the applicability of the proposed method.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122397053","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}
A Fuzzy Rule Based Control System is presented in this paper. This control system controls Traffic Signals for regulating traffic on oversaturated intersections with the integration of left and right turns. Based on the Fuzzy Rules, the system decides, whether to extend the current green signal or terminate it. The control system also controls the continuous and safe flow of emergency vehicles.
{"title":"Fuzzy Rule Based Traffic Signal Control System for Oversaturated Intersections","authors":"Syed Muhammad Sheraz, S. Abbas, H. Noor","doi":"10.1109/CINC.2009.245","DOIUrl":"https://doi.org/10.1109/CINC.2009.245","url":null,"abstract":"A Fuzzy Rule Based Control System is presented in this paper. This control system controls Traffic Signals for regulating traffic on oversaturated intersections with the integration of left and right turns. Based on the Fuzzy Rules, the system decides, whether to extend the current green signal or terminate it. The control system also controls the continuous and safe flow of emergency vehicles.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122418895","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}
According to the wheelchair control particularity for requirements, this paper proposes a parameters self-adjusting fuzzy PID control strategy in accordance with wheelchair speed deviation and changes in the rate of deviation which is applied to DC motor speed control system to achieve optimal control for the wheelchair. At the same time, implement control system simulation though MATLAB toolboxes. It is proved that the system possesses good robustness, zero overshoot, smooth speed control, anti-load disturbance etc,which meet the control requirements for the electric wheelchair.
{"title":"Electric Wheelchair Controller Based on Parameter Self-Adjusting Fuzzy PID","authors":"Zhihong Tian, Wenhui Xu","doi":"10.1109/CINC.2009.218","DOIUrl":"https://doi.org/10.1109/CINC.2009.218","url":null,"abstract":"According to the wheelchair control particularity for requirements, this paper proposes a parameters self-adjusting fuzzy PID control strategy in accordance with wheelchair speed deviation and changes in the rate of deviation which is applied to DC motor speed control system to achieve optimal control for the wheelchair. At the same time, implement control system simulation though MATLAB toolboxes. It is proved that the system possesses good robustness, zero overshoot, smooth speed control, anti-load disturbance etc,which meet the control requirements for the electric wheelchair.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128930819","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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