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APPLICATION OF LYAPUNOV EXPONENT SPECTRUM IN PRESSURE FLUCTUATION OF DRAFT TUBE

Journal of Hydrodynamics 2009年第6期21卷 856-860页

作者： WANG Li-ying ZHAO Wei-guo WEI De-hua College of Water Conservancy and Hydroelectric Power Hebei University of Engineering Handan 056021 China

The Lyapunov exponent spectrum is firstly applied in the analysis of pressure fluctuation of draft tube and calculated based on the time series of vibration in experiments for different situations. Results shows that the Lyapunov exponent spectrum varies with the setting of guide vane, So the Lyapunov exponent spectrum can be used to judge the pressure fluctuation of draft tube so as to timely adjust the setting of the guide vanes to reduce the damage caused by the vibration.

关键词： Lyapunov exponent spectrum pressure fluctuation setting of guide vanes

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Mechanism Design,Position Analysis and Simulation of a New Six Degree-of-Freedom Serial-Parallel Manipulator

Mechanism Design,Position Analysis and Simulation of a New S...

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E-Business·Creative Design·Manufacturing——2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design（CAID&CD’2009）

作者： Yanwei Zhang,Guohua Cui,Zhenjun Sun College of the Mechanical and Electric engineering hebei engineering university Handan,hebei Province 056038,China

In this paper,a new 6-DOF serial and parallel manipulator with a 3-rotation parallel mechanism and a 3-DOF serial manipulator(two-prismatic plus one-revolute)is synthesized and investigated according to the theories of the structure synthesis of robot *** is able to perform spatial transformational movement,rotation,hoisting,tilting,planar rotation and tilted *** mechanism is analyzed,its kinematic position equations are developed,inverse and forward kinematics of its fine tuning structure have been *** simulation with ADMAS is conducted,which verified the correctness of the design,also an application case of this serial-parallel mechanism is *** mechanism features high workspace volume,rotational flexibility,stable balance,precision and load capacity,and can be extended to agricultural planting and picking,lumber machines and other areas.

关键词： Parallel manipulator 6-DOF Mechanism design Position analysis Simulation

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Design Method and Application of Wavelet Neural Network for Direct Torque Control System

Design Method and Application of Wavelet Neural Network for ...

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2007 8th International Conference on Electronic Measurement & Instruments（ICEMI’2007）

作者： Ding Guangbin Pang Peilin hebei university of engineering Handan 056038 China

A torque ripple reduction technique based on wavelet network of direct torque control running in low-speed is presented. The wavelet network can accurately localizes the characteristics of a signal both in the time and frequency domains, and the occurring instants of the signal change can be identified by the multi-scale representation of the *** advantage of complex wavelet transform, combined information can be obtained from both the magnitudes and arguments of complex wavelet transform coefficients to extract the desired feature of the transient signal. The input nodes of the WN are the stator current error and the change in the stator current error and the output node of the WN is the stator resistance error. The synthesized method of recursive orthogonal least squares algorithm and improved Givens rotation is used to fulfill the wavelet network structure initialization and parameter identification, and then the accurate stator flux vector and electromagnetic torque are acquired by means of state estimator, optimizing the inverter control strategy. The simulation results show effectiveness of the proposed control algorithm.

关键词： Induction motor direct torque control wavelet network complex wavelet transform combined information dynamic system identification

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Vibration Fault Detection and Diagnosis in Aircraft Power Plant Using Model-based Technique

Vibration Fault Detection and Diagnosis in Aircraft Power Pl...

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2010 Chinese Control and Decision Conference

作者： Zhiwei Tang,Guangjian Wang hebei university of engineering,Handan 056038,China

＜正＞To assure successful operation over a long period of time,the aeroengine requires a certain degree of *** achieve this object,the automated condition monitoring system which can early detect potentially catastrophic faults is ***,the vibration signal analysis and fault pattern recognition become important issues.A novel approach combining wavelet transform with fuzzy theory is proposed to complete feature extraction fault mode *** wavelet transform uses a rich library of redundant bases with arbitrary time-frequency resolution which enables the features extraction from aeroengine vibration *** neural-fuzzy network is used for fault recognition *** improved algorithm is used to complete the network parameters determination and the robustness of neural network is *** means of network training phase,each fault mode of training set is represented by a certain number of codewords and the trained wavelet-fuzzy network is utilized to detect and classify vibration fault of ***,the fault pattern recognition is accompanied by a belief degree that is introduced as estimations to the recognition *** proposed solution has been validated through experiment and diagnosis result.

关键词： Condition monitoring vibration fault wavelet transform fuzzy theory fault diagnosis pattern recognition

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A Improved Parallel Genetic Algorithm Based on Fixed Point Theory for the Optimal Design of Multi-body Model Vehicle Suspensions

A Improved Parallel Genetic Algorithm Based on Fixed Point T...

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2009 2nd IEEE International Conference on Computer Science and Information Technology（ICCSIT 2009）

作者： Guangyuan Liu Scientific Research Office hebei university of engineering Handan China Jingjun Zhang Ruizhen Gao Yang Sun College of Info & Electric engineering hebei university of engineering Handan China

Based on an improved genetic algorithm,a parallel genetic algorithm is presented and the skeleton implementing is constituted in this *** van der Laan-Talman Algorithm is introduced to the genetic algorithm to design convergence criteria objectively and to solve the convergence problem in the later *** parallel genetic algorithm of multi-body model vehicle suspension optimization is implemented through establishing the interface between ADAMS software and the genetic *** results show that the parallel genetic algorithm developed in this paper is efficient.

关键词： Vehicle suspension Genetic Algorithm Parallel Genetic Algorithm Fixed Point Theory Cluster system

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Unascertained Measure——a New Tool of Safety Assessment for Platform Installation

Unascertained Measure——a New Tool of Safety Assessment for...

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2006年国际电子、工程及科学领域的分布式计算和应用学术研讨会

作者： Shujing Zhou College of Civil engineering,hebei university of engineering, Handan,hebei056038,China Yancang LI College of Civil engineering,Tianjin university, Tianjin,Tianjin300072,China

To deal with the unascertained information and solve the problem of the data shortage in the safety assessment of the offshore platform installation procedure,a mathematical tool, the unascertained measure,was ***,the basic knowledge of the Unascertained Sets and the essential difference between the Unascertained Sets and the Fuzzy Sets were analyzed ***,the unascertained measure was defined and the credible identification model was set *** the method was introduced into the field of safety assessment of jacket installation ***,engineering practices show that it can complete the safety assessment systematically and scientifically without any *** work provides a method for safety assessment and it has significance in theory and practice for offshore engineering.

关键词： safety assessment offshore platform installation unascertained measure information entropy

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Application and Research of Multivariate Decision Tree Based on Rough Set in Comprehensive Statistic Sysem for Coal Enterprise

Application and Research of Multivariate Decision Tree Based...

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2010 International Conference on Advanced Measurement and Test (AMT 2010)

作者： Bingjiang Gong 1,a,Dongyan Bai 2,b,Jianjiao Zhao 3,c 1 hebei university of engineering,Handan,China 056038 2 hebei university of engineering,Handan,China 056038 3 hebei university of engineering,Handan,China 056038

The paper uses the multi variable decision tree technology based on rough set to establish a mine effective decision-making model and realize the evaluation of effectiveness for coal mining *** technology not only effectively reduces the height of the tree,but also takes into account the readability of the classification,thus provides an effective and feasible technical means to the decision-making for enterprise management and improves the management level of coal enterprises.

关键词： multi variable decision tree rough set mine effective decision-making model comprehensive statistic coal enterprise.

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Application of Unascertained Measure to Classification of Expansive Soils

Application of Unascertained Measure to Classification of Ex...

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2009 ISECS International Colloquium on Computing, Communication, Control, and Management

作者： Huawang Shi School of Civil engineering hebei university of engineering Handan,P.R.China

According to the conception of unascertained measure and indices establishment for assessing the expansive soil based on the practical of identification of expansive soil,a new qualitative and quantitative solution method which the synthetic weights of indexes that include both subjective favoritism and objective information was produced to research the assessment of the identification of expansive *** indexes functions of unascertained measure of sample sets of expansive soil were established,and a prediction for the classification of expansive soils was carried out using the rules of credible *** result shows that this method is more reasonable,reliable and ***,the classification model,reflecting the complexity situation of expansive soil objectively,is effective and available to the classification of the grade of shrink and expansion for the expansive soils.

关键词： unascertained measure expansive soils expansive soil indices grading of shrinkage and expansion classify

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Neural Network Model-based Training Algorithm for Transient Signal Analysis

Neural Network Model-based Training Algorithm for Transient ...

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2010 Chinese Control and Decision Conference

作者： Zhiwei Tang,Guangjian Wang hebei university of engineering,Handan 056038,China

The power quality disturbance analysis is becoming an essential issue because of widespread utilization of electronic nonlinear loads that have affected the operation of distributed power system network in residential and industrial *** quality of power system network plays an important role on the development and safety of power system *** paper proposes a wavelet network-based detection and location approach to power-quality disturbance *** wavelet transform provides a suitable transient signal representation corresponding to a time-frequency plane which gives the related information relating to the analyzed *** order to extract power-quality disturbance features,the decomposition coefficient of wavelet transformation at each level is introduced and its mathematical calculation is *** transformation detects and extracts disturbance features in the form of simultaneous time and frequency information and gradient or slope of the disturbance signal using the dyadic orthonormal wavelet transform. The processing phase contains a set of multiple artificial neural networks with wavelet transform coefficients as input *** simulation results and analysis indicate that the wavelet transform combining with neural network is sensitive to transient signal singularity detection.

关键词： Nonlinear load power system network transient signal wavelet transformation decomposition coefficient detection and location neural network

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Vibration Diagnosis Method Based on Wavelet Analysis and Neural Network for Turbine-generator

Vibration Diagnosis Method Based on Wavelet Analysis and Neu...

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2009中国控制与决策会议

作者： Pang Peilin,Ding Guangbin hebei university of engineering,Handan 056038,China

＜正＞The turbine-generator plays a crucial rule in modern industrial *** risk of turbine-generator set failure can be remarkably reduced if normal service condition can be arranged in *** effective approach based on wavelet neural network is presented for vibration signal analysis and fault *** wavelet transform exhibits not only more comprehensive results,but also delivers a variety of possible explanations to the investigated *** main advantage of wavelet transform for signal analysis is that the wavelet coefficients are obtained by correlating vibration signal with the wavelet basis functions so that all possible fault patterns can be displayed by time-scale *** feature vector obtained from wavelet transform coefficients are presented as input vector for neural *** improved training algorithm is used to fulfill network training process and parameter *** the output values of the neural network,the fault pattern is identified in accordance with the predefined fault feature vectors,which are obtained from practical *** the meantime,the convergence property of wavelet network for fault diagnosis is *** experiment results demonstrate that the proposed method is effective and accurate.

关键词： Turbine-generator wavelet transform neural network fault diagnosis vibration signal parameter initialization

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