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Theory analysis and system identification methods on thermal dynamics characteristics of ballscrews

XIA Junyong, HU Youmin, WU Bo, SHI Tielin

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 408-415 doi: 10.1007/s11465-008-0061-y

Abstract: Two methods for system identification (the least square system identification and BP artificial neuralnetwork (ANN) system identification) are put forward to establish a dynamic characteristic model ofa fine identification effect.Comparing the results of the two identification methods, the BP ANN system identification is more precisethan the least square system identification.

Keywords： square system     network     vertical miller     transfer     ANN    

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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: The quality of the system model is critical to controller performance and should adequately describeThis work articulates an integrated system identification procedure for deriving black-box nonlinearcontinuous-time multiple-input multiple-output system models for nonlinear model predictive control.This procedure successfully identified system models that enabled effective control in both servo andThis demonstration of how such system models could be identified for nonlinear model predictive control

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machine    

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Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isThe proposed identification method can straightforwardly extract the mode shape vectors using the modaldemonstrate the efficiency and highlight the superiority of the proposed method in modal parameter identificationThe proposed method is proved to be efficient and accurate in modal parameter identification for both

Keywords： modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

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Parameter identification of interconnected power system frequency after trip-out of high voltage transmission

Xuzhan ZHOU,Shanshan LIU,Mingkun WANG,Yiping DAI,Yaohua TANG

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 386-393 doi: 10.1007/s11708-014-0323-9

Abstract: Accurate modeling and parameters of high voltage (HV) grid are critical for stability research of systemIn this paper, simulation modeling of the system frequency was conducted of an interconnected power systemBased on recorded tripping data of the HV transmission lines, system parameters were identified by usingbetween simulation results and recorded data verifies the validity of gird models and the accuracy of system

Keywords： high voltage (HV) grid     frequency stability parameter identification     primary frequency regulation (PFR    

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Variable identification and automatic tuning of the main module of a servo system of parallel mechanism

YANG Zhiyong, XU Meng, HUANG Tian, NI Yanbing

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 82-88 doi: 10.1007/s11465-007-0014-x

Abstract: The variables of the main module of a servo system for miniature reconfigurable parallel mechanism wereTo identify the variables of the servo system, the triangle-shaped input signal with variable frequencyMoreover, all the variables including the rotary inertia of the servo system were identified by the additivechanging load with the attitude was considered, and the range of the controller variables in the servo system

Keywords： acceleration     reconfigurable parallel     additive     sequence     parallel mechanism    

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System identification of channel roughness for middle route project of south to north water diversion

Yang Kailin,Wang Yisen

Strategic Study of CAE 2012, Volume 14, Issue 11,   Pages 17-23

Abstract:

This paper presents a new method for the system identification of channellinear model by means of the mathematical transformation to make use of the least square method for the identificationslopes and lengths etc, a universal formula is obtained for calculation of channel roughness by the systemidentification.

Keywords： channel     roughness     system identification     least square method    

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Identification of system mode parameters using response measurement only

Huo Bingyong and Yi Weijian

Strategic Study of CAE 2015, Volume 17, Issue 1,   Pages 151-160

Abstract: Modal parameters of system just come from a combination of these corrected results.this paper provides the effective estimation scheme of modal parameters for experiment research on the system

Keywords： output-only response； identification of system mode parameters； space curve fitting； spectrum overlapping    

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Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 47-54 doi: 10.1007/s11465-012-0307-6

Abstract:

Research of thermal characteristics has been a key issue in the development of high-speed feed systemresearch work undertaken herein ultimately aims at the development of a comprehensive thermal error identificationA series of experiments were carried out on a self-made quasi high-speed feed system experimental benchHUST-FS-001 to verify the identification capacity of the presented method.The results show that the recommended model can be used to predict the thermal error of a feed system

Keywords： least squares support vector machine (LS-SVM)     feed system     thermal error     precision machining    

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Nonlinear restoring force identification based on measured time series

Xu Bin,He Jia

Strategic Study of CAE 2011, Volume 13, Issue 9,   Pages 76-82

Abstract:

In this study, a general nonlinear restoring force (NRF) identificationapproach, the least-squares technique is employed to identify the parameters of an equivalent linear system

Keywords： nonlinear restoring force identification     MR damper     least-squares techniques     equivalent linear system    

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Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 3-3 doi: 10.1007/s11465-021-0659-x

Abstract: Applying a robot system in ultrasound-guided percutaneous intervention is an effective approach for prostateIn this paper, an 8-degree-of-freedom robot system is proposed for ultrasound probe manipulation, needleA novel parallel structure is employed in the robot system for space saving, structural rigidity, andThe particle swarm optimization method based on informative value is proposed for kinematic parameter identificationVerification experiments prove that the robot system can realize motions needed in targeting.

Keywords： ultrasound image guidance     prostate percutaneous intervention     parallel robot     kinematics identification    

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Non-convex sparse optimization-based impact force identification with limited vibration measurements

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0762-2

Abstract: Impact force identification is important for structure health monitoring especially in applications involvingDifferent from the traditional direct measurement method, the impact force identification technique ismore cost effective and feasible because it only requires a few sensors to capture the system response> regularization often identifies false forces in non-loaded regions, interfering with the accurate identificationSimulations and experiments are performed on a composite plate to verify the identification accuracy

Keywords： impact force identification     inverse problem     sparse regularization     under-determined condition     alternating    

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Identification of cancer gene fusions based on advanced analysis of the human genome or transcriptome

Lu Wang

Frontiers of Medicine 2013, Volume 7, Issue 3,   Pages 280-289 doi: 10.1007/s11684-013-0265-3

Abstract: This review focused on advanced genome-wide screening approaches in fusion gene identification, suchas microarray-based approaches, next-generation sequencing, and NanoString nCounter gene expression systemThe fundamental rationale and strategy for fusion gene identification using each biotech platform are

Keywords： gene fusion     cancer     microarray     next-generation sequencing     NanoString nCounter system    

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General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 15-24 doi: 10.1007/s11465-009-0015-z

Abstract: typical time series models such as ARMA, AR, and MA are founded on the normality and stationarity of a systemand expressed by a linear difference equation; therefore, they are strictly limited to the linear systemHowever, some nonlinear factors are within the practical system; thus, it is difficult to fit the model

Keywords： linear and nonlinear     autoregressive model     system identification     time series analysis    

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The research on structural damage identification using rough set and integrated neural network

Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 305-310 doi: 10.1007/s11465-013-0259-5

Abstract:

A huge amount of information and identification accuracy in large civil engineering structural damageidentification has not been addressed yet.To efficiently solve this problem, a new damage identification method based on rough set and integratedThe decision fusion network will give the final damage identification results.The identification examples show that this method can simplify the redundant information to reduce the

Keywords： rough set     integrated neural network     damage identification     decision making fusion    

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Application of RFID in the Visual Logistics System

Wang Aiming,Mu Xiaoxi,Li Aihua

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 65-68

Abstract:

The radio frequency identification (RFID) is a kind of new automatic identification technology.Applying RFID to visual logistics system, can gain actual requirement of guaranteed object and informationThe paper introduces the RFID system and its principle, and brings about an application of RFID in visuallogistics system, which is realized by the radio frequency labels stuck to the containers and equipments

Keywords： visual logistics     radio frequency identification     visual system for the carrying materials    

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Title Author Date Type Operation

Theory analysis and system identification methods on thermal dynamics characteristics of ballscrews

XIA Junyong, HU Youmin, WU Bo, SHI Tielin

Journal Article

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Journal Article

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article

Parameter identification of interconnected power system frequency after trip-out of high voltage transmission

Xuzhan ZHOU,Shanshan LIU,Mingkun WANG,Yiping DAI,Yaohua TANG

Journal Article

Variable identification and automatic tuning of the main module of a servo system of parallel mechanism

YANG Zhiyong, XU Meng, HUANG Tian, NI Yanbing

Journal Article

System identification of channel roughness for middle route project of south to north water diversion

Yang Kailin,Wang Yisen

Journal Article

Identification of system mode parameters using response measurement only

Huo Bingyong and Yi Weijian

Journal Article

Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Journal Article

Nonlinear restoring force identification based on measured time series

Xu Bin,He Jia

Journal Article

Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Journal Article

Non-convex sparse optimization-based impact force identification with limited vibration measurements

Journal Article

Identification of cancer gene fusions based on advanced analysis of the human genome or transcriptome

Lu Wang

Journal Article

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Journal Article

The research on structural damage identification using rough set and integrated neural network

Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG

Journal Article

Application of RFID in the Visual Logistics System

Wang Aiming,Mu Xiaoxi,Li Aihua

Journal Article