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Centrifuge experiments for shallow tunnels at active reverse fault intersection

Mehdi SABAGH, Abbas GHALANDARZADEH

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 731-745 doi: 10.1007/s11709-020-0614-7

Abstract: Assessing the interaction of soil and tunnel at an intersection with an active fault during an earthquakeDip-slip surface faulting in reverse mechanism of 60-degree is modeled by a fault simulator box in aThe ground surface deformations and strains, fault surface trace, fault scarp and the sinkhole causedby fault movement are observed here.functionality loss is not abrupt, and the tunnel will be able to tolerate some fault displacements.

Keywords： reverse fault rupture     continuous tunnel     geotechnical centrifuge     ground surface deformations     fragility    

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advanced engineering measures on displacement and stress field of surrounding rock in tunnels crossing active

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0966-x

Abstract: three advanced engineering measures have been proposed—super anchor cables, high-strength concrete anti-faultrock near tunnels crossing active strike-slip faults.Moreover, single- or multiple-joint advanced engineering measures form the local rock mass-anti-faultThe stress field in the modified grouting area changed from shear stress in the fault slip directionThe research results provide a new supporting idea for the surrounding rock of tunnels crossing active

Keywords： anti-fault effect     engineering measures     LRAF method     stress and displacement field     tunnel-crossingactive faults    

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Fault tolerant control strategy for modular PWM current source inverter

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 228-238 doi: 10.1007/s11708-022-0852-6

Abstract: In this paper, a fault-tolerant control method for an input-series output-parallel modular grid-tiedto address the most commonly seen single symmetrical gate-commutated thyristor (SGCT) open-circuit faultcan achieve the upper limit power of the inverter under the condition of a single SGCT open-circuit faultIn addition, an active damping control method based on grid harmonic current feedback is proposed after

Keywords： current source converter (CSC)     fault-tolerant control     space vector modulation     active damping     resonance    

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Research on the Fault Self-recovery Principle of Equipment System

Gao Jinji

Strategic Study of CAE 2005, Volume 7, Issue 5,   Pages 43-48

Abstract: ., with the fault prevention and self-healing as the goal, this paper focuses on the study of the faultFault Self-recovery Engineering (FSE), which can provide theoretical basis in developing a new generation

Keywords： equipment system     principle of fault self-recovery     fault self-recovery regulation     diagnosis     active control    

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Perspectives of Seismic Safety Evaluation in Urban Planning：The Discovery of “Macroseism Generating Fault

Li Ping,Yang Mei´e,Zhao Dongzhi

Strategic Study of CAE 2007, Volume 9, Issue 7,   Pages 1-6

Abstract:

Though not all active faults will generate strong earthquake, peopleStrong earthquake will take place only on a fraction of the active faults in a time scale as long astens or hundreds of years, so we call them the macroseism generating fault.The macroseism generating fault is not merely a line but has a certain width from several meters to tensOff the fault, the seismic peak ground acceleration decreases with distance.

Keywords： urban planning     active fault     macroseism generating fault     seismic amplifying effect of macroseism generatingfault    

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Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervisedfault classification Research Article

Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1814-1827 doi: 10.1631/FITEE.2200053

Abstract: As an indispensable part of process monitoring, the performance of relies heavily on the sufficiency of process knowledge. However, data labels are always difficult to acquire because of the limited sampling condition or expensive laboratory analysis, which may lead to deterioration of classification performance. To handle this dilemma, a new strategy is performed in which enhanced is employed to evaluate the value of each unlabeled sample with respect to a specific labeled dataset. Unlabeled samples with large values will serve as supplementary information for the training dataset. In addition, we introduce several reasonable indexes and criteria, and thus human labeling interference is greatly reduced. Finally, the effectiveness of the proposed method is evaluated using a numerical example and the Tennessee Eastman process.

Keywords： Semi-supervised     Active learning     Ensemble learning     Mixture discriminant analysis     Fault classification    

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A multi-modular shunt active power filter system and its novel fault-tolerant strategy based on split-phase None

Qun-wei XU, Jin-xiang ZHAN, Long XIAO, Guo-zhu CHEN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1166-1179 doi: 10.1631/FITEE.1601296

Abstract:

We first present a new multi-modular shunt active power filter system suitable for large-capacityNext, a novel fault-tolerant approach is proposed based on split-phase control in the a-b-c frame andWhen a phase fault occurs, instead of halting the whole module, the proposed strategy isolates only theThrough steady-state analysis of the post-fault circuit, the system stability and control reliabilityexperimental results show the validity and feasibility of the proposed multi-modular system and its fault-tolerant

Keywords： Shunt active power filter     Fault-tolerant topology     Split-phase control     Bus communication    

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Active fault-tolerant tracking control of a quadrotorwith model uncertainties and actuator faults None

Yu-jiang ZHONG, Zhi-xiang LIU, You-min ZHANG, Wei ZHANG, Jun-yi ZUO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 95-106 doi: 10.1631/FITEE.1800570

Abstract:

This paper presents a reliable active fault-tolerant tracking control system (AFTTCS) for actuatorFurthermore, a fault detection and diagnosis estimator is constructed to diagnose lossof-control-effectivenessBased on the fault information, a fault compensation term is added to the control law to compensate for

Keywords： Model reference adaptive control     Neural network     Quadrotor     Fault-tolerant control     Fault detection and    

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Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 998-1011 doi: 10.1007/s11709-020-0621-8

Abstract: In this paper, the effects of a reverse and a normal fault movement on a transversely crossing shallowas the sprayed concrete thickness, the geo-mechanical properties of soil, the tunnel depth, and the fault

Keywords： urban tunnel     sprayed concrete     reverse fault     normal fault     finite difference analysis    

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Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 264-291 doi: 10.1007/s11465-018-0472-3

Abstract:

Machinery fault diagnosis has progressed over the past decades with the evolution of machineries inHigh-value machineries require condition monitoring and fault diagnosis to guarantee their designed functionsResearch on machinery Fault diagnostics has grown rapidly in recent years.The review discusses the special contributions of Chinese scholars to machinery fault diagnostics.On the basis of the review of basic theory of machinery fault diagnosis and its practical applications

Keywords： fault diagnosis     fault mechanism     feature extraction     signal processing     intelligent diagnostics    

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: Therefore, performing fault monitoring and diagnosis on the traction system of the HST is necessary.various pattern recognition tasks and has demonstrated an excellent performance in traction system faultprimarily aims to review the research and application of machine learning in the field of traction system faultThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelyFinally, the challenges for accurate fault diagnosis under actual operating conditions are revealed,

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: Rotating machine fault signal extraction becomes increasingly important in practical engineering applicationsHowever, fault signals with low signal-to-noise ratios (SNRs) are difficult to extract, especially atthe early stage of fault diagnosis.As a result, fault signals with high SNRs can be obtained for fault feature extraction.

Keywords： phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

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Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0725-z

Abstract: energy operator (EO) and its variants have received considerable attention in the field of bearing faultAs a result, the fault-related transients strengthened by these improved EO techniques are still subjectTo address these issues, this paper presents a novel EO fusion strategy for enhancing the bearing faultThird, the intrinsic manifolds are weighted to recover the fault-related transients.experimental verifications confirm that the proposed strategy is more effective for enhancing the bearing fault

Keywords： higher order energy operator     fault diagnosis     manifold learning     rolling element bearing     information    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery.However, the inexplicability and low generalization ability of fault diagnosis models still bar themneural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical faultunique advantages in 1) the hierarchical structure that can support more accuracy and comprehensive faultThe multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.Tuning requires considerable experiences on the knowledge on CNN training and fault diagnosis, and isTo solve this problem, this paper proposes a novel automatic CNN (ACNN) for fault diagnosis, which canThe results show that ACNN outperforms these HPO and ML/DL methods, validating its potential in fault

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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Title Author Date Type Operation

Centrifuge experiments for shallow tunnels at active reverse fault intersection

Mehdi SABAGH, Abbas GHALANDARZADEH

Journal Article

advanced engineering measures on displacement and stress field of surrounding rock in tunnels crossing active

Journal Article

Fault tolerant control strategy for modular PWM current source inverter

Journal Article

Research on the Fault Self-recovery Principle of Equipment System

Gao Jinji

Journal Article

Perspectives of Seismic Safety Evaluation in Urban Planning：The Discovery of “Macroseism Generating Fault

Li Ping,Yang Mei´e,Zhao Dongzhi

Journal Article

Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervisedfault classification

Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE

Journal Article

A multi-modular shunt active power filter system and its novel fault-tolerant strategy based on split-phase

Qun-wei XU, Jin-xiang ZHAN, Long XIAO, Guo-zhu CHEN

Journal Article

Active fault-tolerant tracking control of a quadrotorwith model uncertainties and actuator faults

Yu-jiang ZHONG, Zhi-xiang LIU, You-min ZHANG, Wei ZHANG, Jun-yi ZUO

Journal Article

Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Journal Article

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article