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Test research on the construction of dynamic performance detection platform for high-grade numerical control machines

Test research on the construction of dynamic performance det...

引用

International Conference on Measuring technology and Mechatronics Automation

作者： Xu, Xiaoli Ren, Bin School of Mechanical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Measurement and Control Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9780769542966

High-grade numerical control machines have gradually become the major machining equipments in our Chinese modern manufacture and the scale of its manufacturing system is also precise and HintegratedH and intelligentized day by day, in order to ensure the machine to achieve its function effectively, research on test will be needed to do to aAnalysisH the fault symptoms and reasons which effect machine machining accuracy. However, traditional test system cannot satisfy modern high-grade numerical control machines test study requirements. For this reason, this paper puts forward the technology research on the construction of dynamic performance detection platform for turn-milling complex processing center to provide a strong guarantee for detecting equipment' machining conditions in real time and forecasting equipment failures accurately, which provide the modern test equipments for test research on the high-grade numerical control machines. Based on high-grade numerical control machines dynamic performance detection platform, this paper conducts a technology research on the effective acquisition test of data samples on typical functional parts of numerical control machines to improve machining precision of numerical control machines, and puts forward sample test acquisition method of operation condition of numerical control machines, and conducts the design of sample fault diagnosis knowledge base. The purpose of the research work is to provide test equipments to reveal high-grade numerical control machines dynamic performance, and another purpose of the research is to provide the key testing techniques for revealing the dynamic performance of fault occurrence and development and factors resulting in deterioration of precision. qap2gsolutions © 2011 IEEE.

关键词： Manufacture

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Study on simulation of non-destructive testing for pipeline defects by ultrasonic guided waves

Study on simulation of non-destructive testing for pipeline ...

引用

2011 Cross Strait Quad-Regional Radio Science and Wireless technology Conference, CSQRWC 2011

作者： Yang, Hu Wang, Cheng National Key Laboratory for Electronic Measurement Technology North University of China Taiyuan Shanxi 030051 China State Key Laboratory for the Prevention and Control of Explosion Disasters Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781424497904

The detection of defects in pipes is of very importance to the oil, chemistry, gas industry etc. The guided wave method that detects refection waves from defects is developed and proves to be effective. The disadvantages such as low speed and high cost in current non-destructive testing for defects in pipes, the influences of varying exciting frequency on the detection of defects are numerically simulated and analyzed both in straight and curved pipes. And the results suggest that, under the condition of certain wall thickness of pipes, the testing sensitivity increases at first as the exciting frequency increases along, and then it begins to decrease when the frequency arrives at a specific value. It is also concluded that the error in determining the defect locations increases too as the exciting frequency increases. These results have instructive significance on realizing long distance and rapid non-destructive testing for longitudinal ultrasonic guided waves in pipes. At last, the structure of ring transducer that can excite guided waves is also presented in the paper. © 2011 IEEE.

关键词： Guided electromagnetic wave propagation

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Method for diagnosing photovoltaic array fault in solar photovoltaic system

Method for diagnosing photovoltaic array fault in solar phot...

引用

Asia-Pacific Power and Energy Engineering Conference

作者： Xu, Xiaoli Wang, Huan Zuo, Yunbo School of Mechanical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781424462551

Solar photovoltaic(PV) array power generation, as a utilization form of solar energy, has been widely applied in solar generator systems throughout the world. Effective guarantee of PV array normal power generation, rapid and accurate detection of fault location and the prediction of fault occurrence are of great significance. This paper, based on the analysis of solar photovoltaic power generation performance, raises new voltage and current detection method. The original current and voltage detection method can not distinguish the environmental factors which causes the decrease in power generation capacity. This new test method can overcome such defect, and can accurately judge the location where cell array fault occurs;this technology is very important to safe and reliable operation of solar photovoltaic generation system and the improvement of power generation efficiency. © 2011 IEEE.

关键词： Fault detection

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IFDS operation mechanism and its implementation

IFDS operation mechanism and its implementation

引用

2011 International Conference on Electric Information and control Engineering, ICEICE 2011

作者： Liu, Qiushuang Xu, Xiaoli School of Mechanical Engineering Beijing Institute of Technology China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University China

ISBN: (纸本)9781424480395

In order to deal better with the changeful market demand, based on IFDS for modern instrument manufacturing, people make researches on the product family and the operation mechanism of IFDS. In the design process, first, people determine the variants of products through grid dividing markets;and then find main related design parameters in the product family. In order to establish flexible product platform, people have to find out the core structure of a product and refine its public module and flexible module by the aid of IFDS operation mechanism;and finally add specific elements to the platform. In the end, the author takes the development of the product family of concentrator solar energy system for example to prove the effectiveness of this method. © 2011 IEEE.

关键词： Product design

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Grey relation analysis on fuzzy fault tree of disk brake

Grey relation analysis on fuzzy fault tree of disk brake

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2011 International Conference on Electronic and Mechanical Engineering and Information technology, EMEIT 2011

作者： Ma, Dezhong Jang, Yongqing Zhou, Zhen Zhao, Tonghui Lin, Dawei College of Measurement-Control Technology and Communications Engineering Harbin University of Science and Technology Harbin China Higher Educational Key Laboratory for Measuring and Control Technology Instrumentations of Heilongjiang Province Harbin China Harbin China

ISBN: (纸本)9781612840857

The fault states are fuzzy and the relationship between the primary and the secondary factor leading to the fault is uncertain in the course of the reliability analysis of disk brake. To solve these problems, the fuzzy grey relation analysis is used to improve the traditional method, Fault Tree Analysis (FTA). The triangle fuzzy number is used to represent the fuzzy probability of basic event. The fuzzy importance of basic event is calculated by adopting barycenter algorithm. The grey relation degrees between the top event and minimal cut sets are computed after getting incidence coefficients between them. This method is adopted to analyze the fault, inadequate braking moment, of hydraulic disk brake. The order of possibilities that the fault modes represented by minimal cut sets lead to the top event occurrence is determined by comparing grey relation degrees. The results can provide theoretical bases for finding out weaknesses, preventing faults, improving reliability and safety of the system. © 2011 IEEE.

关键词： Fault tree analysis

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The high-speed data acquisition system based on LVDS interface and two-plane flash-operating way

The high-speed data acquisition system based on LVDS interfa...

引用

2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011

作者： Bai, Xianmin Zhang, Yating Zhan, Jianhua Liu, Wenyi Han, Huilian National Key Laboratory of Electronic Measurement Technology North University of China Taiyuan China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Space-Flight and Automatic Controlling Institute of Beijing Beijing China

ISBN: (纸本)9781424496969

In the aerospace engineering, before the rocket launch, we need to simulate the actual process to collect and store data. This article describes a high-speed data acquisition and storage systems based on the LVDS interface and two-plane flash-operating way. When receiving the simulated rocket ignition signal, the recorder assembled in the rocket records the sensor parameters of various key parts of the rocket high-speedly in the two-plane way;the control center, via the LVDS interface and the USB bus of the integrated test bench, monitors the state parameters in real time. © 2011 IEEE.

关键词： Rockets

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Flue gas turbine condition trend prediction based on improved echo state network

Flue gas turbine condition trend prediction based on improve...

引用

International Conference on Measuring technology and Mechatronics Automation

作者： Wang, Shaohong Chen, Tao Xu, Xiaoli School of Mechanical Engineering Beijing Institute of Technology Beijing 100081 China Ministry of Education Key Laboratory for Modern Measurement and Control Technology Beijing Information Science and Technology University Beijing 100192 China

ISBN: (纸本)9780769542966

Fault prediction is the key technology for ensuring safe operation and scientific maintenance of large equipment. As the running of flue gas turbine has nonlinear characteristics, echo state network (ESN) was introduced to predict the condition trend of the turbine. Singular value decomposition was used to improve the linear regression algorithm of ESN, and the prediction workflow was given. Condition trend prediction results showed the effectiveness of the proposed method. © 2011 IEEE.

关键词： Flue gases

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PCA-AR based fault prognosis for turbine machine

PCA-AR based fault prognosis for turbine machine

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2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011

作者： Wang, Qiuyan Ma, Jie Xu, Xiaoli Department of Automation Beijing Information Science and Technology University Beijing 100192 China Key Laboratory of Modern Measurement and Control Ministry of Education Beijing Information Science and Technology University Beijing 100192 China

ISBN: (纸本)9781424481149

In this paper, a multivariate fault prognosis approach based on statistical process monitoring (SPM) methods and time series prediction for turbine machine was proposed. A principal component analysis (PCA) model using sample data under normal state was built. Firstly, fault is detected by squared prediction error (SPE) index, then predicted by AR model. With development of fault process, the SPE will produce a corresponding change and carry important fault information, so calculate statistics of SPE can be characterized and predict the trend of fault and level. A case study on the huge stack gas turbine shows the efficiency of the proposed approach. © 2011 IEEE.

关键词： Principal component analysis

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Adaptive sliding mode control of electromechanical actuator with improved parameter estimation

Adaptive sliding mode control of electromechanical actuator ...

引用

作者： Li, Hao Bai, Yongqiang Su, Zhong School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Ministry of Education Beijing 100101 China

ISBN: (纸本)9788995605646

An adaptive sliding mode control scheme for electromechanical actuator has been presented. The adaptive control strategy can estimate the uncertain parameters and adaptively compensate the modeled dynamical uncertainties, while the sliding mode control method overcomes the unmodelled dynamics. In the adaptive law an equivalent output injection of the sliding mode observer which contains the parameter estimation error is used, and estimates of parameters can approximate the true values without prediction-error that is typically used in compositive adaptive law. Due to the improved estimation of uncertain parameters, the sliding mode law can robustifies the design against model uncertainties with a small swithcing gain. Stability of the system with the proposed approach has been proved and it has also been shown that the system states can reach the sliding mode in finite time. Finally, the effectiveness of the proposed control scheme has been exhibited via simulation examples. © 2011 Asian control Association.

关键词： Parameter estimation

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Day-ahead Electricity Price Forecasting Based on Rolling Time Series and Least Square-Support Vector Machine Model

Day-ahead Electricity Price Forecasting Based on Rolling Tim...

引用

2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Guolian Hou Jianhua Zhang Rui Wang Jian Han Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North

Considering the electricity price’s volatility and various elements which affect the price in the electricity market, the paper presents hybrid model for the day-ahead electricity market clearing price forecasting. The paper adopts autoregressive moving average (ARMAX) model to reveal the linear relationship between power load and electricity price;the generalized autoregressive conditional heteroskedasticity (GARCH) model to reveal the heteroskedasticity properties of residual. Simultaneously the paper presents the inexactness and irrationality that modeling by the historical data long ago to forecast the price with the change of the time, then presents the rolling forecast that constantly using the latest data to modeling the ARMAX-AR-GARCH model. To reveal the nonlinear relationship between power load and electricity price, the paper adopts least squares support vector machine (LS-SVM). Using the proposed method, the day-ahead electricity prices of California electricity market are forecasted, prediction results show the efficiency of the proposed method.

关键词： day-ahead price forecast ARMAX GARCH rolling forecast LS-SVM

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