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2010 IEEE International Conference on Mechatronics and Automation最新文献

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Three-dimensional computations of in-cylinder flows in a production DI diesel engine 某型直喷柴油机缸内流动的三维计算
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5589179
Ruilin Liu, A. Catania, Guang-meng Zhou, Xiang Xu, Xiao Wu
{"title":"Three-dimensional computations of in-cylinder flows in a production DI diesel engine","authors":"Ruilin Liu, A. Catania, Guang-meng Zhou, Xiang Xu, Xiao Wu","doi":"10.1109/ICMA.2010.5589179","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5589179","url":null,"abstract":"This paper describes a three-dimensional modeling of in -cylinder air flow in a production open-chamber direct injection diesel engine with an offset piston-bowl during the compression period and early stages of expansion. The results of study reveal that the swirl in the bowl is undergoing procession, and is greatly affected by the squish flows, consequently different flow structure within the bowl at top dead center (TDC) of compression are generated.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125439415","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}
引用次数: 0
Bispectrum analysis for feature extraction of pitting fault in wind turbine gearbox 风电齿轮箱点蚀故障特征提取的双谱分析
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5589326
Y. Liu, Yanbing Zhou, Weidong Xin, Ying He, Pengqi Fan
{"title":"Bispectrum analysis for feature extraction of pitting fault in wind turbine gearbox","authors":"Y. Liu, Yanbing Zhou, Weidong Xin, Ying He, Pengqi Fan","doi":"10.1109/ICMA.2010.5589326","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5589326","url":null,"abstract":"This paper discusses the theory of higher-order statistical analysis and its application in gear pitting fault feature extraction from gearbox vibration signals analysis of a large scale wind turbine generator system (WTGS). The bispectrum was used to inhibit the Gaussian noise in measured vibration signals and to reveal the fault related non-Gaussian information. We propose to divide the dual-frequency plan of bispectrum into several partitions and use the total amplitude value of each partition, which related to the non-Gaussian intensity of vibration signals, as feature values for identification of pitting fault. It can be seen by comparing the results between pitting fault and normal condition that the proposed method are effective for the extraction of gear pitting fault information from noised vibration signals and bring stable performance, high sensitivity.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525410","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}
引用次数: 11
A novel wireless and mobile piezoelectric micro robot 一种新型的无线移动压电微型机器人
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5588196
C. Pan, S. Tzou, Ruei Yang Shiu
{"title":"A novel wireless and mobile piezoelectric micro robot","authors":"C. Pan, S. Tzou, Ruei Yang Shiu","doi":"10.1109/ICMA.2010.5588196","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5588196","url":null,"abstract":"In this paper, a novel wireless and mobile piezoelectric micro robot has been presented. The dimensions of the robot are within several centimeters (such as 7.5cm × 6.5cm × 7.5cm) and the weight is approximate a hundred gram, including the drive and control circuits, the main structure, the piezoelectric beams and the batteries. In contrast to existing mobile micro robots, the actuating mechanism of the proposed robot is piezoelectric bimorph beams, and the driving principle is the piezo-based vibromotor technique with vibration wave (traveling-wave) as drive source to actuate the robot. Since the robot is wireless, the challenge subject of the research is how to minimize the drive and control circuits with high voltage supply (up to 50V) based on battery voltage alone. The robot has speed up to 14 mm/s in 50V and with a frequency of 75Hz on a polished steel surface without extra loading. The robot can bear approximate 96g extra loading.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114886406","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}
引用次数: 11
A mini digital methane detecting and alarm system for miners lamp 一种用于矿灯的微型数字甲烷检测报警系统
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5588929
Xuhui Zhang, H. Ma
{"title":"A mini digital methane detecting and alarm system for miners lamp","authors":"Xuhui Zhang, H. Ma","doi":"10.1109/ICMA.2010.5588929","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5588929","url":null,"abstract":"Methane detecting and alarm miners lamp has proved very effective on methane monitoring in recent decades. The functions of those lamps are limited for its size, caused high maintenance costs and performance instability. Aimed at computer technology, modern signal analysis and processing technology, a mini intelligent methane detecting and alarm system is developed. Firstly, the status of domestic and overseas research of the intelligent methane detecting system was presented. Then the auto-calibration methods are introduced to achieving the maintenance-free. The automatic and visualized calibration technologies of intelligent methane detecting system are described in detail. Finally, the experimental data is analyzed. The system improved the detection accuracy, prolonged calibration cycle of the methane measuring device and lessened the working strength on calibration. The mini methane detecting system can be mounted on alarm miners lamp, portable gas detector.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115048408","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}
引用次数: 0
A discretization algorithm based on information distance criterion and ant colony optimization algorithm for knowledge extracting on industrial database 基于信息距离准则和蚁群优化算法的工业数据库知识提取离散化算法
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5589218
Wenzhi Zhu, Jingcheng Wang, Yanbin Zhang, Lixin Jia
{"title":"A discretization algorithm based on information distance criterion and ant colony optimization algorithm for knowledge extracting on industrial database","authors":"Wenzhi Zhu, Jingcheng Wang, Yanbin Zhang, Lixin Jia","doi":"10.1109/ICMA.2010.5589218","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5589218","url":null,"abstract":"Discretization algorithms have played an important role in data mining, which is widely applied in industrial control. Since the current discretization methods can not accurately reflect the degree of the class-attribute interdependency of the industrial database, a new discretization algorithm, which is based on information distance criterion and ant colony optimization algorithm(ACO), is proposed. The paper analyses the information measures of the interdependence between two discrete variables, and an improved information distance criterion is generated to evaluate the class-attribute interdependency of the discretization scheme. In the algorithm, The ACO is applied to detect the optimal discretization scheme, and a new pheromone matrix is defined on the construction of the optimization, and an effective heuristic values assignment approach, which is used with the criterion values of discretization scheme, is proposed. We performed the experiments on a real industrial database. Experiment results verify that the proposed algorithm can produce a better discretization results.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114484779","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}
引用次数: 8
An improved spectral subtraction algorithm based on auditory masking in voice human-computer interaction 语音人机交互中基于听觉掩蔽的改进谱减算法
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5589171
J. Lu, Ping Wang, S. Yu, C. Lu
{"title":"An improved spectral subtraction algorithm based on auditory masking in voice human-computer interaction","authors":"J. Lu, Ping Wang, S. Yu, C. Lu","doi":"10.1109/ICMA.2010.5589171","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5589171","url":null,"abstract":"As the primary research area of the Multimoda1 Human-computer Interaction, Voice Interaction mainly involves extraction and identification of the natural speech signal, where the former provides the reliable signal sources, which are analyzed by the latter. The speech enhancement technology is studied in this paper, aiming at the Voice Interactive. We propose an improved spectral subtraction (SS) algorithm based on auditory masking effect. The simulated results compared to the traditional SS show the effectiveness and superiority of the improved algorithm.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114588934","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}
引用次数: 3
Soft-measurement of black liquor baume degree & its implementation 黑液甜度的软测量及其实现
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5589029
Wei Tang, Junmei Huang, Dan Liu, Mengxiao Wang
{"title":"Soft-measurement of black liquor baume degree & its implementation","authors":"Wei Tang, Junmei Huang, Dan Liu, Mengxiao Wang","doi":"10.1109/ICMA.2010.5589029","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5589029","url":null,"abstract":"Aiming at the problem of on-line measurement of black liquor baume degree, a soft-measurement scheme based on GSVM (Gaussian Kernel Support Vector Machine) was proposed in this paper. The model used steam pressure and liquor temperature as the secondary variables to predict black liquor baume degree. In terms of the hardware and software development platform of SIEMENS S7-300, a DCS based on soft measurement technology of black liquor baume degree was designed. The results show that this method can monitor the black liquor baume degree in evaporation section of the alkali recovery process better, control the utilization rate of the fresh steam effectively and achieve the purpose of reducing the energy consumption of paper-making industry successfully.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128539614","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}
引用次数: 0
Model reference neural network control strategy for flight simulator 飞行模拟器模型参考神经网络控制策略
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5589247
Hongjie Hu, Jiyang Liu, Lin Wang
{"title":"Model reference neural network control strategy for flight simulator","authors":"Hongjie Hu, Jiyang Liu, Lin Wang","doi":"10.1109/ICMA.2010.5589247","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5589247","url":null,"abstract":"A control scheme combining novel model reference adaptive control (MRAC) and neural network (NN) is proposed in this paper to achieve high tracking precision for servo systems. This scheme comprises an MRAC controller and an online NN controller in the velocity-loop and a traditional PD controller in the position-loop. For reducing influences which arose from modeling error, unknown model dynamics, parameter variation and disturbance acted on the velocity-loop, the NN controller is introduced to reduce the various influences mentioned above, and to adjust system to track the nominal velocity-loop reference model. Especially, as an innovation, a robust item is adopted to guarantee the system globally steady. Based on Lyapunov stability theory, updating algorithm of the weights of the NN controller, parameters of the MRAC and robust item are designed. Experiment results demonstrate that the proposed strategy can achieve high tracking precision for real-time position close-loop servo system.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128269893","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}
引用次数: 1
Wavelet-based virtual metrology technique 基于小波的虚拟计量技术
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5588327
Yaw-Jen Chang
{"title":"Wavelet-based virtual metrology technique","authors":"Yaw-Jen Chang","doi":"10.1109/ICMA.2010.5588327","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5588327","url":null,"abstract":"In this paper, a systematic methodology for virtual metrology is proposed. This virtual metrology system which is mainly designed for the process subject to process drift consists of a fuzzy neural network for calculating the process outcome and wavelet transform for estimating the trend of process drift. Because many semiconductor processes exhibit inevitable steady drifts in nature, virtual metrology is a novel technology to predict the process results based on the previous metrology measurements, instead of measuring practically. The system was implemented to the sputtering deposition process in TFT-LCD fabrication for experimental verification. The results show that it has good generalization capability and performance. Thus, it provides an effective and economical solution for metrology prediction.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127021444","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}
引用次数: 2
Screw performance degradation model based on novel neural networks 基于新型神经网络的螺旋性能退化模型
2010 IEEE International Conference on Mechatronics and Automation Pub Date : 2010-10-07 DOI: 10.1109/ICMA.2010.5588526
Hongli Gao, Yuting Situ, M. Xu, Yun Shou, HaiFeng Huang, Liang Guo
{"title":"Screw performance degradation model based on novel neural networks","authors":"Hongli Gao, Yuting Situ, M. Xu, Yun Shou, HaiFeng Huang, Liang Guo","doi":"10.1109/ICMA.2010.5588526","DOIUrl":"https://doi.org/10.1109/ICMA.2010.5588526","url":null,"abstract":"A screw performance degradation model based on neural network which was optimized by improved genetic algorithm was proposed to predict screw life accurately and provide active maintenance proof. Key factors which related to screw life were analyzed by screw motion mechanism. Three vibration sensors were installed on different position of screw and vibration signal were processed by EMD, time domain analysis, frequency domain analysis and wavelet packet analysis. The most sensitive features to screw life were selected by correlation coefficient and evaluation index. The relation between screw life and features was built by neural network that constructed by BP training algorithm, and screw life was calculated. The long practical results show that the screw life prediction model can meet the need of active maintenance and reduce maintenance cost.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129100133","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}
引用次数: 0
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