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2013 3rd International Conference on Advanced measurement and Test(AMT 2013)

作者： Wang Pengqing Wang Hongjun Wan Peng Gao Hepeng Key Laboratory of Modern Measurement & Control Technology Ministry of EducationBISTU

This paper introduces a spindle error separation technique called orthogonal mixed *** problem of harmonic suppression is solved by the orthogonal mixed method,which exists in the process of measurement based on three point *** measuring system consisting of a displacement sensor and a angle sensor is developed for spindle error and roundness *** sensors,which are placed in the same plane perpendicular to the spindle axis,are mutual into *** principle of the critical angle method of total reflection are used by two sensors to separate rotation error from spindle *** all,the measured results show that this method indeed solve the problem of harmonic suppression,make the results of measurement more accurate.

关键词： Spindle error separation orthogonal mixed method harmonic suppression

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Rotating machinery fault prediction based on manifold learning method

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2013年第6 SUPPL.期34卷 128-133页

作者： Wan, Peng Wang, Hongjun Ma, Chao Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing 100192 China School of Mechanic and Electric Engineering BISTU Beijing 100192 China

In order to extract the nonlinear characteristic of rotary machine, a new monitoring method based on manifold learning method is proposed. High dimension space of original signals is constructed by multivariate statistical analysis. Three methods included local target space alignment (LTSA), Isometric Mapping (ISOMAP) and locally linear embedding (LLE) are employed for extracting one dimension principal manifold to reflect the non-linear dynamic characteristics of the system. And the results show that LTSA can predict the fault directly and effectively with practical data.

关键词： Rotating machinery

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Study of CNC machine working condition monitoring and fault prediction system based on PHP

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2013年第6 SUPPL.期34卷 119-123页

作者： Wang, Hongjun Xu, Xiaoli Wan, Peng Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing 100192 China School of Mechanic and Electric Engineering BISTU Beijing 100192 China

The recent progresses in mechanical system condition monitoring technology based on the inter-net was reviewed and presented. The CNC machine tools working condition plays an important role for the flow shop production line for the products quality, production efficiency and production cost. The framework of the production line CNC machine tools working condition monitoring and fault prediction system (E-MAX System) is presented. The functions of the system, are discussed in detail. The least-square method could be employed to collect and analyze the malfunction of the CNC machine tools to obtain the MTBF of key equipments and providing technical support for the maintenance based on practice data from the workshop. CNC machine tools working condition monitoring and fault forecasting System (E-MAX) was designed and developed based on the platform of Apache, PHP and MySQL. This system has several significant functions, including information consultation, working condition monitoring and fault prediction, maintenance plan and strategies. The system is a feasible tool for enterprises in terms of information management of the production line and equipment maintenance based on the conditions of the equipment.

关键词： Condition monitoring

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Trend prediction method of running stability deterioration faced to wind turbine group

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2013年第6 SUPPL.期34卷 124-127页

作者： Jiang, Zhanglei Xu, Xiaoli Chen, Xiangzhen Zuo, Yunbo Wu, Guoxin School of Mechanical and Vehicle Engineering Beijing Institute of Technology Beijing 100081 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing 100192 China

A running stability prediction model faced to wind turbine equipment group based on Internet of Things (IOT) is research. It's beneficial to improve the running stability of key equipment group and promote the emerging IOT technology application in equipment maintenance. The prediction model mainly includes the system of remote online sample acquisition and prediction method of running stability based on IOT. The running trend feature is extracted from vibration signals, and a genetic algorithm optimization neural network prediction model based on mean function new information-weighted theory is applied to predict running stability deterioration. The results show that prediction model has good performance on prediction accuracy and real-time prediction.

关键词： Wind turbines

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Research on fault prediction method faced to internal combustion engine group based on IOT

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2013年第6 SUPPL.期34卷 183-187页

作者： Xu, Xiaoli Jiang, Zhanglei Liu, Xiuli Long, Zhongjie Chen, Peng School of Mechanical and Vehicle Engineering Beijing Institute of Technology Beijing 100081 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing 100192 China Department of Environmental Science and Engineering Faculty of Bio-Resources Mie University Tsu-shi Mie-ken 514-8507 Japan

Electromechanical system deterioration from stable state to a non-stable state is a process of deterioration changes which are depended on the time series. It is beneficial to carry out safety protection in advance and implement predictive maintenance, and also to prevent accident occurrence by using fault prediction method to reveal the fault feature. A fault prediction method faced to internal combustion engine group based on Internet of Things (IOT) is researched. It's beneficial to improve the operation stability of key equipment group and promote the emerging IOT technology application in equipment maintenance. The fault prediction model mainly includes the system of remote online sample acquisition based on IOT, constructing fault prediction model coupling the physical information and numerical rules information of the mechanical systems, both to reflect the physical nature of the mechanical system, but also reflects the fault indicates numerical rules of the mechanical system. Fault feature is used to predict fault trend in order to ensure safe and stable operation of internal combustion engine group.

关键词： Internal combustion engines

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Wireless sensor network in the photovoltaic power generation monitoring syste

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第8期11卷 4774-4779页

作者： Huan, Wang Xiaoli, Xu School of Mechanical and Vehicle Engineering Beijing Institute of Technology 5 South Zhongguancun Street Haidian District Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University 12 East Qinghexiaoying street BeiJing China

The sensor layer in the monitoring and control system of Solar PV Power Generation collects PV array state information. The amount of solar PV array is so large and the distribution of solar PV array is so wide that cable connection isn't suitable. The wireless communication technology ZigBee is a data communication network protocol based on the underlying short-range data 802.15.4, which can conveniently collect surrounding environment information and status data of photovoltaic power. © 2013 Universitas Ahmad Dahlan.

关键词： Zigbee

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Intelligent fault prediction system based on internet of things

Intelligent fault prediction system based on internet of thi...

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作者： Xu, Xiaoli Chen, Tao Minami, Mamoru Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing 100192 China Faculty of Engineering Okayama University Okayama Japan

Fault prediction is the key technology to ensure the safe operation of large equipment. Based on the investigation of current and developing research of fault prediction, an intelligent fault prediction system based on internet of things is proposed in this paper. The system is used for key mechanical equipment groups, and aims at improving the working efficiency and the intelligent level of fault prediction. First the characteristics of the system are analyzed, and then the four-layer functional architecture of the system is designed to realize comprehensive condition monitoring, reliable information transmission and computer intelligent information processing for fault prediction. And three main difficulties faced in the system are discussed. The fault prediction system based on internet of things can provide technical means to achieve scientific predictive maintenance for large key mechanical equipment groups. © 2011 Elsevier Ltd. All rights reserved.

关键词： Internet of things

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Absorbance experiments on different pesticide formulations and mixed concentration sensor design

Absorbance experiments on different pesticide formulations a...

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American Society of Agricultural and Biological Engineers Annual International Meeting 2012

作者： Guan, Xianping Qiu, Baijing Zhang, Xiaodong Zuo, Zhiyu Dong, Xiaoya Key Laboratory of Modern Agricultural Equipment and Technology Ministry of Education Jiangsu University Zhenjiang 212013 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

ISBN: (纸本)9781622762088

This paper carried out the absorbance experiments on different pesticide formulations and mixed pesticide concentration sensor design for online mixing system based on the precision spray requirements. There are many different pesticide formorlations, among which wettable powder (WP) and emulsifiable concentrates (EC) are most widely used ones in China. The optical methods were chosen for quick and precise measurement based on the physical characteristics of commonly used pesticide formulations and generally low spraying concentrations. Firstly we carried out monochromatic light absorbance experiments to study the optical properties of different pesticide formulations. We prepared the solutions with different possible spraying concentrations of WP and EC of several commonly used pesticdes and used UV-Vis spectrophotometer to measur the absorbance of the prepared solutions. The experiment results show that: in the UV-visible wavelength range, the absorbances of the suspension or emulsion of WP or EC generally decrease with increasing optical wavelength, but the solution concentration and the absorbance value is not proportional. In the 600-800nm range the absorbances have good differentiation. In order to select the appropriate absorbance range of wavelengths and considering the available of laser diode, the monochromatic light with wavelength of 650nm was chosen as the source light. Then we carried out the preliminary design of mixed pesticide concentration sensor. The sensor is composed of monochromatic light source module, the light detection circuit and signal processing module. The structure of the sensor was also preliminarily designed.

关键词： Absorbance

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Nonlinear dynamic behavior of two-span rotor-bearing system With rubbing fault

Nonlinear dynamic behavior of two-span rotor-bearing system ...

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第四届国际自动化测试与仪器仪表学术会议

作者： Wang Shaohong Ma Chao Xu Xiaoli Key Laboratory of Modern Control & Measurement Technology of Ministry of Education Beijing Information Science & Technology University

A dynamic model is established for rubbing non-linear rotor system,and dynamics characteristics of the rubbing rotor based on numerical calculations are *** analysis shows that besides periodic and quasi-periodic vibration,abundant chaotic motions and bifurcations occur in the *** speed and amount of eccentricity are used as control parameters,the bifurcation diagram,Poincare section,waveform diagram and phase diagram for the system are obtained in numerical integral method in order to observe the changes in responses of system in some parameter *** numerical analysis results provide theoretical basis and reference for effective prediction of failures in such rotor system.

关键词： rotor system rubbing bifurcation nonlinear

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Intelligent control of photovoltaic system

Intelligent control of photovoltaic system

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第四届国际自动化测试与仪器仪表学术会议

作者： Qiao Daoe Xu Xiaoli Key Laboratory for Modern Measurement and Control Technology of Ministry of Education Beijing Information Science & Technology University

Under partial shading,the photovoltaic array with multiple modules has the electric characteristics with multiple *** power control is needed to get the maximum energy in the photovoltaic *** this paper,the distributed MPPT scheme is used,where a switching DC-DC converter dedicated to each module is added,and each converter performs MPPT operation *** each module,the maximum power point is identified using feed forward neural network model,and tracked through regulation of the DC-DC converter output voltage with smart digital *** photovoltaic system generates another 10 to 20 percent of more energy under the described intelligent power control.

关键词： intelligent control partial shading photovoltaic system

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