{"title":"A Fault Diagnosis Method for Train Plug Doors Based on MNPE and IPSO-MSVM","authors":"Yongkui Sun, Guo Xie, Yuan Cao, Tao Wen","doi":"10.1109/ICCAIS.2018.8570324","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570324","url":null,"abstract":"Train plug doors play a vital role to keep train operation safe and reliable. Taking the advantages of sound signals based fault diagnosis method into consideration, a novel fault diagnosis method for train plug doors based on multiscale normalized permutation entropy (MNPE) and an improved particle swarm optimization based multi-class SVM (IPSO-MSVM) is proposed. First, empirical mode decomposition (EMD) is used to decompose each sound signal into a series of intrinsic mode functions (IMFs) and a residue for stationary processing. Then, MNPE features are extracted from the IMFs. And Fisher discrimination criterion is utilized to obtain the most significant features as feature vectors. Further, an improved PSO (IPSO) is used to search for the optimal parameters of multi-class SVM. Finally, the IPSO-MSVM model is trained and verified using training set and test set, respectively. The identification accuracy of the proposed method reaches 90.54%, which is higher than backpropagation (BP) neural network classifier and 1 Nearest Neighbor (1NN) classifier, indicating the proposed method for fault diagnosis on train plug doors is feasible.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128087681","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":"Off-line Fault Location for VSC-DC Distribution Network","authors":"Lun Li, K. Jia, Liang Hao, Miao Zhang, Yu Fang","doi":"10.1109/ICCAIS.2018.8570568","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570568","url":null,"abstract":"DC power distribution network has caused widespread concern of scholars and become one of the most important technologies for the future development of the power system in the world, because of its intelligent, flexible and efficient features, and the enormous potential in improving the power quality. However, the power electronic component in DC distribution network can't withstand high current, so the protection requires fast action to isolate the fault current, which causes the lack of fault data used for positioning. The existing positioning method called single ended transient current measurement can't accurately positioning with high fault resistance and noise. Considering the fault has occurred, and DC circuit breaker breaks off quickly, in the condition of loss of power system, this paper uses a detection device, which can accurately locate the fault location, with a certain ability of fault resistance and noise tolerance.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127975756","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":"Multiple Fault Diagnosis Methods Based on Multilevel Multi-Granularity PCA","authors":"Lan Wu, Sheyan Su, Chenglin Wen","doi":"10.1109/ICCAIS.2018.8570453","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570453","url":null,"abstract":"Principal Component Analysis (PCA) is a basic method of fault diagnosis based on multivariate statistical analysis. It utilizes the linear correlation between multiple process variables to implement process fault diagnosis and has been widely used. Traditional PCA fault diagnosis ignores the impact of faults with different magnitudes on detection accuracy. Based on a variety of data processing methods, this paper proposes a multi-level and multi-granularity principal component analysis method to make the detection results more accurate.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131953611","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}
Feilong Fan, N. Tai, Jiayun Ni, Qiu Sun, Zhoujun Ma, Peiyu Chen
{"title":"Hierarchical Evaluation and Fault Diagnose Strategy for the Active Distribution Network Using the Incomplete Monitoring Information *","authors":"Feilong Fan, N. Tai, Jiayun Ni, Qiu Sun, Zhoujun Ma, Peiyu Chen","doi":"10.1109/ICCAIS.2018.8570325","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570325","url":null,"abstract":"The cost of monitoring facilities for the whole active distribution network challenges the electric power companies. This paper proposes a hierarchical evaluation and fault diagnose strategy using the incomplete monitoring information to decrease the cost of the monitoring facilities. The proposed strategy consists of three levels: the primary level, the middle level and the output level. The K-means clustering algorithm is employed at the primary level. Considering the local incomplete history information and the history fault record information, the K-means clustering algorithm assesses the failure probability of the target area in each cluster. A regional composite failure probability calculation algorithm is proposed at the middle level. Considering the distance from the monitoring area real-time sampling data matrix to each cluster, the proposed algorithm calculates the probability of the real-time monitoring data belonging to each cluster. Combining the cluster belonging probability and the failure probability of each cluster, the proposed algorithm calculate the composite failure probability of the each target area in the active distribution network. An evaluation algorithm based on the maximum composite probability is proposed at the output level. The maximum composite failure probability of each region is used as the overall operation state evaluation coefficient to evaluate the operation status level of the active distribution network. The proposed strategy is tested by the Matlab/Simulink model of a distribution network in Nanjing. Test results show that the proposed strategy can effectively detect the weak areas of the active distribution network. The real-time operating state of the active distribution network is evaluated scientifically.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130276589","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":"Sensor Fault Detection Based on State Estimation Observer in Discrete Nonlinear Systems","authors":"X. Jia, Qianshuai Cheng, Yandong Hou","doi":"10.1109/ICCAIS.2018.8570340","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570340","url":null,"abstract":"This paper investigates discrete-time T-S fuzzy systems, uses fuzzy rules to model the system, then builds a system state estimation observer to detect sensor faults, and finally uses the method to optimize the residual generator. We built a measurement equation where sensor faults can be converted to status inputs. The corresponding observer parameters are obtained by using a linear matrix inequality method, and then an optimization technique is used to reduce the influence of the interference input on the residual, and designed a residual generator to make the residual signal correspond to the sensor failure one by one, which can be used for sensor fault detection and isolation in a TS fuzzy system with disturbance.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131052660","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":"Comparison Between Heart Rate Variability and Pulse Rate Variability for Bradycardia and Tachycardia Subjects","authors":"Yongxin Chou, Peiyi Zhu, Xufeng Huang, Jiajun Lin, Jicheng Liu, Ya Gu","doi":"10.1109/ICCAIS.2018.8570697","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570697","url":null,"abstract":"Pulse rate variability (PRV) derived from photoplethysmograph (PPG) signal has increasingly applied potentiality in wearable devices for telecare and personal healthcare. In this study, the relevance between PRV and HRV of bradycardia and tachycardia subjects are compared. First, we extract R to R wave interval sequences (RRIs) and P to P wave interval sequences (PPIs) from ECG and PPG signals, respectively. Then, the 5 features in time domain, 7 features in frequency domain and 9 features in nonlinear domain are extracted from PPIs and RRIs. Finally, two-sample t-test is employed to analyze the relevance of each same features. The results show that there is obvious relevance for these features except for basic scale entropy (BSE). Therefore, PRV can be used to analyze HRV for bradycardia subjects except for the pacemaker wearers, which have less variation patterns and higher HR and PRV For the tachycardia subjects, the PRV has more variation patterns than HRV. If we just consider the accuracy between HR and PR, there are not obviously different for bradycardia and tachycardia subjects.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128874804","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":"Integrated Fault Tolerant Control for Closed-Loop System with Uncertain Packet Loss","authors":"C. Juan, Hu Xian, Zhong Yong-yan, Qiu Aibing","doi":"10.1109/ICCAIS.2018.8570504","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570504","url":null,"abstract":"In this paper, an integrated fault tolerant control scheme is developed for closed loop systems with unknown packet loss rate. Firstly, the closed loop system with packet loss is modeled as a switched system with uncertain system parameters, then the fault diagnosis observer and fault tolerant controller are constructed, and the integrated design issue is transformed into a multi-objective solution problem of the extended system under weighted performance. Furthermore, the parameters of the fault observer and the fault tolerant controller are solved by approaches including average dwell time, multi-Lyapunov functions and relaxation matrix. Finally, simulation results show the effectiveness and superiority of the proposed method.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124754396","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":"Multi-Agent Formation Control and Target Tracking","authors":"Jiarui Xing, Weifeng Liu, Mingxin Kong","doi":"10.1109/ICCAIS.2018.8570581","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570581","url":null,"abstract":"With the rapid development of sensor information, robot control and target tracking technology, the target tracking of single target and single agent cannot meet the needs of some occasion. In the past decades, multi-agent control and tracking algorithms have attracted more and more attention. Among them, the control problem of multi-agent has become the research focus of scholars. As an important aspect of multi-agent control problem, formation control has also made considerable development. It has played an important role in the fields of industry, civil affairs and military affairs [1]. Multi-agent formation has obvious advantages compared with the task of single agent, it can accomplish more and more complex tasks, and the efficiency of the task is greatly improved. The failure of a single agent in the system will not significantly affect the completion of the overall task. In order to improve the efficiency of multi-agent system, it is very necessary to study the task of multi-agent coordination. At present, the widely used intelligent formation tracking system includes the target detection and tracking system of unmanned aerial vehicle formation, the ground vehicle object tracking and detection system and the detection and tracking system of the sea surface ship area target.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130741148","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":"Error-Tracking Iterative Learning Control for Gun Control Servo System of Tank","authors":"Q. Yan, Youfang Yu, Yan Ma, Jianoing Cai","doi":"10.1109/ICCAIS.2018.8570479","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570479","url":null,"abstract":"A novel error-track iterative learning control scheme is proposed to tackle velocity tracking problem for gun control servo system of tank. Firstly, the system modeling for gun control servo system of tank is introduced as a preparation of developing the control law. Then, with the desired error trajectory being constructed to deal with the initial problem of iterative learning control, an error-tracking adaptive iterative learning controller is designed by using Lyapunov approach. The nonlinear uncertainties and external disturbances are compensated by integrating adaptive learning control and robust control. As the iteration number increases, the system error of tank servo system converges to the desired error trajectory over the whole time interval, which renders the system state to accurately track its reference signal during the predetermined part time interval. All signals in the closed loop system are guaranteed to be bounded. Numerical simulations demonstrate the effectiveness of the proposed control scheme.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130747253","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":"On the Price of European Call Option Based on the Black Scholes Model with Fuzzy Number Coefficients","authors":"Guojing Zhang, Guixiang Wang","doi":"10.1109/ICCAIS.2018.8570549","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570549","url":null,"abstract":"In this paper, some problems about Black-Scholes model with fuzzy number coefficients is studied. Firstly, by using the Itô formula, the asset prices at $T$ or $t$ times are obtained from the Black-Scholes model with fuzzy number coefficients. Then, by operation rules of fuzzy numbers, the expression of the price of European call option in form of level set of fuzzy number is obtained. At last, an example is given to show the feasibility of the method.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132491649","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}