{"title":"System Reliability Analysis of MEMS Gyroscope with Multiple Failure Modes","authors":"H. Feng, W. Lou, Dakui Wang, F. Zheng, M. Liao","doi":"10.1109/ICMIC.2018.8529889","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529889","url":null,"abstract":"Aiming at the limitation of traditional MEMS gyroscope reliability analysis method, this paper presents a reliability calculation method for MEMS gyroscope about failure mechanism, failure process and failure mode correlation. The problem which the MEMS gyroscope is easy to be affected by technology, structure, gap, material and so on, the failure mechanism is complex, the reliability data is short and the reliability is difficult to predict are solved. The system reliability of MEMS gyroscope is estimated. Through the calculation and analysis among much reliability analysis method, G-PCM method is confirmed. The reliability of the MEMS gyroscope is calculated to be 0.999169, which can meet the requirements of the reliability of the key products.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132434288","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}
{"title":"A Modified Cell Transmission Model Incorporating Capacity Drop at Merge Bottleneck Considering On-Ramp Flow","authors":"Song Wang, Xu Xie, Wei Duan, Kedi Huang","doi":"10.1109/ICMIC.2018.8529916","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529916","url":null,"abstract":"Capacity drop is one of the most famous and confusing phenomena in the dynamic of motorway traffic and is closely related to the occurrence of congestion and the magnitude of travel delay. Traffic flow theory and traffic flow model play an important role in testing and developing efficient motorway traffic control strategies, while macroscopic models of the Lighthill-Whitham-Richards (LWR) type fail to reproduce the capacity drop. This paper proposes a modified Cell Transmission Model(CTM) based on the special contribution of on-ramp flow on the capacity drop to reflect the capacity drop at merge in the first-order traffic flow model. We calibrate and validate the presented model with real traffic data, the validation results show that this model is robust and capable to capture capacity drop phenomenon.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122623732","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}
{"title":"Study on Modeling and State Estimation of Ultrasonic Motor Based on Data Driving","authors":"Yao Shuncai, Z. Ru, Duan Fei, Ren Yi-feng","doi":"10.1109/ICMIC.2018.8529960","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529960","url":null,"abstract":"Control of ultrasonic motor requires high accuracy of the mathematical model, and their states estimation requirements are also increasing. Only on this basis can the control be performed under high-performance indicators. In this paper, using the basic ideas of data-driven, a discrete-state model is established for a kind of standing-wave ultrasonic motor by using a nonlinear time series modeling method. And on this basis, a state estimation study is performed. Experiments show that the application of data-driven modeling method can establish a high-precision motor mathematical model. The motor state is estimated based on it. Meanwhile, it can provide a good condition for ultrasonic motor control accurately and efficiently.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126984433","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}
{"title":"Maximum Likelihood Recursive Extended Least Squares Estimation for Multivariate Equation-Error Moving Average Systems","authors":"Lijuan Liu, Yan Ji, F. Ding, Junhong Li","doi":"10.1109/ICMIC.2018.8529898","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529898","url":null,"abstract":"In this paper, the parameter identification of the multivariate equation-error moving average system is studied. The system is decomposed into several subsystems and a maximum likelihood recursive extended least squares identification algorithm is presented for estimating the parameter vector in each subsystem. The numerical simulation results indicate that the maximum likelihood recursive extended least squares identification algorithm is effective and get more accurate parameter estimates.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115160688","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}
{"title":"Research on Meta Genomic Attribute Reduction Based on on a New Algorithm","authors":"Jian Xue, Fu Liu, Jing Bai, Tao Hou","doi":"10.1109/ICMIC.2018.8529969","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529969","url":null,"abstract":"Aiming at the problem that most of the DNA sequences extracted by meta genomics are unknown and exist multidimensional eigenvectors., this paper proposes a rough set and BreedPSO method to reduce the characteristics of microbial strains. It is found that while reducing the vector dimension., Can maintain or even improve the classification accuracy of species., effectively extract the fine species tags., save classification time., improve classification efficiency.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127625454","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}
{"title":"Wind Turbine Blade Condition Monitoring and Damage Detection by Image-Based Method and Frequency-Based Analysis","authors":"Jiansheng Yang, Ling Zhao, Z. Lang, Yang Zhang","doi":"10.1109/ICMIC.2018.8529879","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529879","url":null,"abstract":"Wind turbine blade condition monitoring is necessary for planning blade maintenance. In this paper, a wind turbine blade condition monitoring and damage detection based on vibration measurement using a image-based system is proposed. Blade are measured in undamaged and damaged conditions under various vibration frequencies and displacement amplitudes. The results were compared and analysed in both time and frequency domains. Then a frequency-based index is proposed to quantify the vibration dynamics and detect the damage.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125676887","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}
{"title":"Fault Diagnosis of the Speed Sensor of Electro-Mechanical Transmission of the High Speed Rotorcraft","authors":"Yue Ma, Lu Lin, Yu Wang","doi":"10.1109/ICMIC.2018.8529966","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529966","url":null,"abstract":"The speed sensor of the electro-mechanical transmission is the most vulnerable part, if the speed sensor breaks down, the control system of the electro-mechanical will lose efficacy. In this paper, a model-based fault diagnosis method is proposed, which uses the unscented Kalman filter to diagnose the fault of the speed sensor. First, the mathematical model of the system is established, subsequently, the measurements are estimated by the unscented Kalman filter. Moreover, the residual errors between the estimated values and measured values are obtained. According to the residual errors, the fault of the system will be diagnosed. The numerical simulations demonstrate that the model-base method can diagnose the speed sensor fault accurately and in time.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115863849","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}
{"title":"Numerical Study to Valve Control Scheme of 660MW Supercritical Steam Turbine Based on SPE","authors":"Qian Jin, Qin Haibo, Gong Dehong, Yu Yujie","doi":"10.1109/ICMIC.2018.8529982","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529982","url":null,"abstract":"As the parameters of the thermal power plant and the frequency of peak load operation rising continuously, Solid Particle Erosion (SPE) of steam turbine is getting more and more serious. Solid particle erosion leads to the damage of the steam turbine blade and the degradation of the turbine's performance. Taking a 660MW supercritical steam turbine, the numerical simulation is carried out aiming to get the impact density of SPE to the blades of the turbine's governing stage as its load varying respectively correspond to sliding pressure and constant pressure running modes. The influence of SPE with different valve control schemes are compared while the pressure keeping constant. The solid particle erosion of the steam turbine governing stage mainly occurs in the blades. As the load decreases during the sliding pressure operation, the erosion of the solid particles in the governing stage gradually increases. At high load, the valve control scheme has less effect on solid particle erosion and low load larger. Based on the analysis of the simulation results, a series of valve control scheme to reduce the SPE of governing stage are presented.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124614152","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}
{"title":"Finite-Time Sliding Mode Control of the Valve-Controlled Hydraulic System","authors":"Hao Yan, Lingling Xu, Lijing Dong","doi":"10.1109/ICMIC.2018.8529951","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529951","url":null,"abstract":"Rapid tracking is the most important quality for the valve-controlled servo system. Therefore, a method is presented of terminal sliding mode control for the valve-controlled systems which can make the tracking error converge to zero within finite time. Actually, the main feature of this method is the terminal function involved in the sliding surface. The nonlinear items are introduced through the terminal function to build a moving terminal sliding surface. Based on the Lyapunov stability theory, the terminal sliding mode controller is constructed, which can realize finite-time convergence of position error. And the proposed control strategy is simulated on basis of a valve-controlled system model whose command functions is sine and cosine functions. The results of simulation show that the terminal sliding mode control method is feasible and effective for valve-controlled systems.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"415 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124819190","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}
H. Mao, Weili Tang, Yang Huanga, Zhengfeng Huang, Xinxin Li
{"title":"Experimental Study on the Detection of Damage in Large-Scale Used Parts Using SIMO NOFRFs","authors":"H. Mao, Weili Tang, Yang Huanga, Zhengfeng Huang, Xinxin Li","doi":"10.1109/ICMIC.2018.8529852","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529852","url":null,"abstract":"In order to ensure the quality of remanufacturing parts, it is necessary to detect the fatigue damage in the used parts. NOFRFs have been characterized nonlinearity of the system and used to detect to the fatigue damage of the used parts. For the large-scale parts, the single-input multi-output system model (SIMO) and the estimation method for the NOFRFs of SIMO should be built. The new detection indexes based on SIMO NOFRFs were constructed with the concept of information entropy, the definition and estimation methods were given. The pulse hammer experiment was carried out on the used parts (reduction gearbox chassis with different fatigue damage), SIMO NOFRFs were estimated with the data of the hammer excitation measurement, and then the detection indexes could be calculated. The result showed that it is effective for the new detection index to evaluate synthetically the damage of large-scale used chassis parts.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134133404","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}