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Fault evolution-test dependency modeling for mechanical systems

Xiao-dong TAN,Jian-lu LUO,Qing LI,Bing LU,Jing QIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 848-857 doi: 10.1631/FITEE.1500011

Abstract: Tracking the process of fault growth in mechanical systems using a range of tests is important to avoidIn this paper, to improve the testability performance of mechanical systems for tracking fault growth, a fault evolution-test dependency model (FETDM) is proposed to implement DFT.A testability analysis method that considers fault trackability and predictability is developed to quantifyResults from experiments on a centrifugal pump show that the proposed FETDM and testability analysis

Keywords： Mechanical systems     Design for testability (DFT)     Fault evolution-test dependency model (FETDM)    

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Digital twin-assisted gearbox dynamic model updating toward fault diagnosis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0748-0

Abstract: One of the core challenges of intelligent fault diagnosis is that the diagnosis model requires numerousGenerating training data using a virtual model is a potential solution for addressing such a problem,and the construction of a high-fidelity virtual model is fundamental and critical for data generationIn this study, a digital twin-assisted dynamic model updating method for fault diagnosis is thus proposedhelical gearbox; the virtual data generated by this model can be used for gear fault diagnosis.

Keywords： digital twin     gearbox     model construction     model updating     physical–virtual interaction    

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Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 46-49 doi: 10.1007/s11465-007-0007-9

Abstract: A blind identification method was developed for the threshold auto-regressive (TAR) model.The proposed method was then combined with the hidden Markov model (HMM) to determine the auto-regressiveThe fault diagnoses during the speed-up and speed-down processes for rotating machinery have been successfully

Keywords： speed-up     classifier     practical     extraction     experiment    

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Uncovering the evolution of tin use in the United States and its implications

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1406-6

Abstract:

• US tin use decreases as the GDP value added by manufacturing sector increases.

Keywords： Tin use     GDP     Curve fitting     Logistic model     Gompertz model    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent faulttypes and localize fault sources with the help of multi-sensor relations (MSRs).First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition resultsSecond, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and faultResults show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 85-97 doi: 10.1631/FITEE.1400111

Abstract: Why is it important to verify/validate model transformations?Verified/validated model transformations make it possible to ensure certain properties of the generatedduring the model-to-model transformation.of a novel test-driven method for verifying/validating model transformations.We provide a solution that makes it possible to automatically generate test input models for model transformations

Keywords： Graph rewriting based model transformations     Verification/validation     Test-driven verification    

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Large-scale model test study on the water pressure resistance of construction joints of karst tunnel

Frontiers of Structural and Civil Engineering   Pages 1249-1263 doi: 10.1007/s11709-023-0974-x

Abstract: Model tests and numerical calculations were adopted based on the New Yuanliangshan tunnel project toA large-scale model test was designed and conducted, innovatively transforming the external water pressureon the water pressure resistance of the construction joint were analyzed, and the reliability of the modeltest was verified via numerical calculations.test results, indicating that the model test results have high accuracy and reliability.

Keywords： karst tunnel     lining construction joint     water pressure resistance     large-scale model test     numerical    

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Evaluation of potential failure of rock slope at the left abutment of Jinsha River Bridge by model test

Zhiming ZHAO, Xihua WANG

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 332-340 doi: 10.1007/s11709-013-0206-x

Abstract: To evaluate the stability of the rock slope under bridge foundation, model test and calculation modelAccording to model test, failure mainly initiated at the toe with shear movement along the joint planesresulting in the sliding along the slope surface and formation of tension crack at the crest of the modelThis result coincide with the UDEC model, which shows that slope surface will produce loosening damage

Keywords： slope stability     strength properties     model test     numerical analysis    

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The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 233-237 doi: 10.1007/s11465-006-0003-5

Abstract: This paper presents the hybrid model identification for a class of nonlinear circuits and systems viaAfter discussing the method to establish the hybrid model and introducing the hybrid model identification, a set of relative formulas are derived for calculating the hybrid model and computing the VolterraIn order to significantly reduce the computation cost for fault location, the paper presents a new faultAn example of identification simulation and fault diagnosis are given.

Keywords： block-pulse function     nonlinear     multiple     diagnosis     combination    

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Centrifuge model test and field measurement analysis for foundation pit with confined water

Chunlin DING , Xiaohong MENG ,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 3,   Pages 299-304 doi: 10.1007/s11709-009-0035-0

Abstract: The similarity law of centrifuge test was developed for the seepage field and stress field of a foundationwater by analyzing control equations, and a similarity index and a similarity coefficient of centrifuge testComparison results show that the pit deformation regularity of the test is basically identical with thatof the field measurement, and the difference in pit deformation between the test and the field measurementThe centrifuge model test can effectively simulate the displacement response of the ground and retaining

Keywords： foundation pit with confined water     centrifuge model test     seepage-stress coupling field     similarity relation    

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Model test and discrete element method simulation of shield tunneling face stability in transparent clay

Huayang LEI, Yajie ZHANG, Yao HU, Yingnan LIU

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 147-166 doi: 10.1007/s11709-020-0704-6

Abstract: transparent clay with properties similar to those of Tianjin clay is prepared and a new transparent clay modeltest apparatus is developed to overcome the “black box” problem in the traditional model test.A series of transparent clay model tests is performed to investigate the active failure mode, influence

Keywords： shield tunneling face     stability     transparent clay     model test     numerical simulation    

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Multiscale model of micro curing residual stress evolution in carbon fiber-reinforced thermoset polymer

Xinyu HUI, Yingjie XU, Weihong ZHANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 475-483 doi: 10.1007/s11465-020-0590-6

Abstract: A thermochemical coupling model is developed at the macroscale level to obtain the distributions of temperatureMeanwhile, a representative volume element model of the composites is established at the microscale levelinformation from the macroscale perspective, the curing residual stresses are calculated using the microscale modelThe evolution of curing residual stresses reveals the interaction mechanism of fiber, matrix, and interphase

Keywords： CFRP     curing residual stress     multiscale modeling     finite element method    

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Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 1,   Pages 67-72 doi: 10.1007/s11709-009-0007-4

Abstract: the Shanghai Bridge over the Yangtse River, the vortex-excited resonance of a 1∶60 scale sectional modelThe conversion relationships between the resonant amplitudes of the sectional model and that of the prototype

Keywords： vehicle-bridge system     sectional mode     vortex-excited resonance     wind tunnel test     mode shape correction    

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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: Deep learning has achieved much success in mechanical intelligent fault diagnosis in recent years.However, many deep learning methods cannot fully extract fault information to recognize mechanical healthTherefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNN) is proposed in this study to accomplish fault recognition of high-dimensional samples.Lastly, a 2D DCNN model with multi-layer convolution and pooling is used to automatically learn features

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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Dynamic test and finite element model updating of bridge structures based on ambient vibration

HUANG Minshui, ZHU Hongping, LI Lin, GUO Wenzeng

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2,   Pages 139-144 doi: 10.1007/s11709-008-0028-4

Abstract: In this paper, a three-dimensional finite-element model is first established for a highway bridge overa set of data is selected based on sensitivity analysis and optimization theory; the finite element modelexperimental results show that the updated method is more simple and effective, the updated finite element model

Keywords： numerical     effective     Highway     vibration     complex external    

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Title Author Date Type Operation

Fault evolution-test dependency modeling for mechanical systems

Xiao-dong TAN,Jian-lu LUO,Qing LI,Bing LU,Jing QIU

Journal Article

Digital twin-assisted gearbox dynamic model updating toward fault diagnosis

Journal Article

Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Journal Article

Uncovering the evolution of tin use in the United States and its implications

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Journal Article

Large-scale model test study on the water pressure resistance of construction joints of karst tunnel

Journal Article

Evaluation of potential failure of rock slope at the left abutment of Jinsha River Bridge by model test

Zhiming ZHAO, Xihua WANG

Journal Article

The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Journal Article

Centrifuge model test and field measurement analysis for foundation pit with confined water

Chunlin DING , Xiaohong MENG ,

Journal Article

Model test and discrete element method simulation of shield tunneling face stability in transparent clay

Huayang LEI, Yajie ZHANG, Yao HU, Yingnan LIU

Journal Article

Multiscale model of micro curing residual stress evolution in carbon fiber-reinforced thermoset polymer

Xinyu HUI, Yingjie XU, Weihong ZHANG

Journal Article

Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

Dynamic test and finite element model updating of bridge structures based on ambient vibration

HUANG Minshui, ZHU Hongping, LI Lin, GUO Wenzeng

Journal Article