{"title":"Fault diagnosis technology based on wavelet analysis and resonance demodulation","authors":"Fengxing Zhou, Gengguo Cheng, Jun Zhou, Wei Liang","doi":"10.1109/WCICA.2004.1340972","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1340972","url":null,"abstract":"The impulse signal is contained in the fault signals of some pivotal components such as gears and axletrees. Extracting weensy impact information is an important method to diagnose equipment. A mathematical model on the technology of resonant demodulation is put forward in this paper. The model provides the theoretical basis on how to use the technology to extract the weensy impulse signal from the normal low-frequency vibrating signal, at the same time, another method that wavelet analysis is used to extract the weensy impulse information is introduced too. Simulation and practical application manifest that both wavelet analysis and demodulation have good effect on extracting the weensy impulse from the mechanical fault caused by gear and axletree.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117178181","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":"An approach for controller fault detection","authors":"C. Dai, S.H. Yang, L. Tan","doi":"10.1109/WCICA.2004.1340931","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1340931","url":null,"abstract":"Monitoring and maintaining of control software becomes more and more important and difficult with the increase of control software in size and complexity. In this paper, an approach for control software fault detection is proposed, which is based on the monitoring of the discrepancies between the control outputs of the actual controller and the benchmark controller, a Linear Quadratic Gaussian (LQG) controller. The discrepancies are assumed to be Gaussian distribution with a stable mean under the normal situation. Faults in the actual controller are characterized by sudden jumps in the mean of the discrepancies. The fault detection is transferred into a jump point identification problem. A detector based on Generalized Likelihood Ratio (GLR) test is employed for the jump point identification. The proposed approach is applicable to general control software even it is only illustrated through a water heater case study with a simple PID controller.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128177978","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 fast and accurate algorithm for estimating frequency of a sine wave under low-signal-noise-ratio background","authors":"Kaichun Re, Yaqing Tu, Xuanqi Zhang","doi":"10.1109/WCICA.2004.1343304","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1343304","url":null,"abstract":"A new method of estimating frequency of a sine wave with the existence of serious Gaussian noise is proposed in this paper, in which the accurately-estimated frequency is obtained by two procedures as coarse search and fine search based on DFT and interpolation. The method is used to estimate the beat frequency of a LFMCW radar liquid-level gauge and its distance-resolution is up to 0.3 mm under noise background as serious as -32 db of signal-noise-ratio. The method, proved by simulation results, is of high accuracy and capable of being used as an on-line way of frequency estimation.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131222359","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 parameter dispersion based global identification method and its application","authors":"Yuexuan Wang, Xiaoping Li, Cheng Wu, Xixiang Hu","doi":"10.1109/WCICA.2004.1340577","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1340577","url":null,"abstract":"Local identification method provides one point in the parametric space, which locally minimizes the criteria, the deviation of the object output and the model output. However, for process control system modeling, it often exists a set of points that satisfy to minimize the criteria. This paper proposed a global identification method, which is based on the local identification results to determine the upper bound and lower bound of the model parameters by parameter dispersion method. Then gradient projection is applied to search for the optimal projection direction and project the parameters surfaces on this direction, which is named as equidistance-projection. The application of parameters identification of industrial multiple-step batch polyvinyl chloride synthesis reaction control model shows that the proposed method is efficient and practical in dynamic process control system modeling.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979135","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":"T-S fuzzy system based on multi-resolution analysis and its function approximation","authors":"Hui Wang, Jian Xiao","doi":"10.1109/WCICA.2004.1340566","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1340566","url":null,"abstract":"Inspired by the theory of multi-resolution analysis of wavelet transform, a novel T-S fuzzy system was proposed for approximating nonlinear function. The ante-components of the fuzzy rules are constructed based on the frequency factors, while the consequent parts of the fuzzy rules are consisted of T-S fuzzy subsystems. The fuzzy membership functions of T-S fuzzy subsystems are generated from multi-resolution scale functions. Then, the function approximation of the fuzzy system is analyzed. Subsequently, based on the multi-resolution property of B-spline scale function, a structure identification algorithm of the fuzzy system is proposed. Simulation results show that the fuzzy system is efficient in the approximation of nonlinear function and its fuzzy membership functions have interpretability and multi-resolution characteristic.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115450011","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":"Design of SIMUPRO series training simulators for large scale industrial processes","authors":"Jiangang Lu","doi":"10.1109/WCICA.2004.1343132","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1343132","url":null,"abstract":"Training simulator can model all phenomena of startup, shutdown, routine operation and malfunction in actual factory without any raw materials and danger. An operator trained by training simulator for several weeks can get more experiences than one working in the field for two to five years. As a scientific training method, training simulator is attracting more and more considerable attentions. SIMUPRO series training simulators for large scale industrial processes developed by Zhejiang University, have been successfully applied in many petrochemical works where distributed control systems (DCS) are used. SIMUPRO series training simulators are remarked well by broad users for their advanced technology, practicability and reliability. The functions, architectures, designs and characters of these training simulators are elucidated in this work.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123136369","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}
Tianping Zhang, Jiandong Mei, Yang Xia, Jianjiang Yu
{"title":"Adaptive fuzzy control for strict-feedback nonlinear systems","authors":"Tianping Zhang, Jiandong Mei, Yang Xia, Jianjiang Yu","doi":"10.1109/WCICA.2004.1342056","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1342056","url":null,"abstract":"The problem of direct adaptive fuzzy control for a class of strict-feedback uncertain systems is discussed in this paper. Based on the principle of sliding mode control and the approximation capability of fuzzy systems, and by introducing modulation function, a novel scheme of direct adaptive fuzzy control is proposed. By utilizing backstepping technique, each virtual control and the adaptation law of the adjustable parameters in the fuzzy systems as well as the super bounds of the approximation errors are determined in turn. Finally, the control law is determined. In order to reduce the modeling error effect and improve the control performance of the closed-loop system, the adaptive compensation term of the approximation error is introduced. By Lyapunov method, the closed-loop control system is shown to be uniformly ultimately bounded, and tracking error asymptotically converges to an arbitrary given accuracy.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124401313","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":"Using genetic algorithm for weighted fuzzy rule-based system","authors":"M. Teng, Fanlun Xiong, Rujing Wang, Zhenglong Wu","doi":"10.1109/WCICA.2004.1342321","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1342321","url":null,"abstract":"A genetic weighted fuzzy rule-based system is proposed in this paper, in which the parameters of membership functions including position and shape of the fuzzy rule set and weights of rules are evolved using a genetic algorithm. The efficiency of the system has been illustrated in the process of classifying the iris data. This paper also illustrates that compared with non-weighted fuzzy rules, weighted fuzzy rules can lead to better fuzzy system.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114653373","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":"Stochastic stability analysis and control of networked control systems with randomly varying long time-delays","authors":"Yuequan Yang, De Xu, M. Tan, X. Dai","doi":"10.1109/WCICA.2004.1340869","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1340869","url":null,"abstract":"This paper mainly studies stability and optimal control for networked control systems with the real-time setup of time-driven sensor, event-driven controller and actuator, and with the assumption that network-induced delay is no longer than certain known times of sampling period. The modeling of this class of networked control systems is given. Then, preliminary stochastic stability analysis of it is presented. Finally, based on stochastic optimal control theory an LQG control scheme is provided. Much work needs to be continued for future research.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114648447","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":"Stability in distribution for multidimensional jump-diffusion processes","authors":"Xining Li, Qimin Zhang","doi":"10.1109/WCICA.2004.1340548","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1340548","url":null,"abstract":"The aim of this work is to extend the previous results for continuous diffusions to multidimensional jump-diffusion processes and to obtain sufficient conditions for asymptotic stability in distribution using an appropriate stochastic Lyapunov function.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116684764","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}