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Transient performance comparison of grid-forming converters with different FRT control strategies

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 239-250 doi: 10.1007/s11708-022-0856-2

Abstract: Instead of disconnecting from the grid unintentionally, GFMs are required to have fault ride through(FRT) capability to maintain safe and stable operation in grid-connected mode during grid fault periodsIn recent studies, different FRT control strategies with distinguishing features and that are feasibleFirst, three typical FRT control strategies (virtual impedance, current limiters, and mode-switchingThe results will be useful for guiding the selection and design of FRT control strategies.

Keywords： grid-forming converters (GFMs)     fault ride through (FRT)     transient stability     transient inrush current    

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Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 388-398 doi: 10.15302/J-FEM-2017046

Abstract: evaluate the urban network-wide travel time reliability, five indices based on the emerging on-demand rideWe use real-world data extracted from DiDi-Chuxing, which is the largest on-demand ride service platform

Keywords： network travel time reliability     on-demand ride services     travel time rate     OD    

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Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 130-141 doi: 10.1007/s11465-014-0298-6

Abstract:

Fault diagnosis of rolling element bearings requires efficient signal processing techniques.

Keywords： Fault detection     spline wavelet     continuous wavelet transform     fast Fourier transform    

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Astronauts Hitch First Ride Aboard Private Rocket to Space Station

Chris Palmer

Engineering 2020, Volume 6, Issue 11,   Pages 1207-1209 doi: 10.1016/j.eng.2020.08.007

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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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Adverse Geology Identification Through Mineral Anomaly Analysis During Tunneling: Methodology and Case Article

Zhenhao Xu, Tengfei Yu, Peng Lin, Shucai Li

Engineering 2023, Volume 27, Issue 8,   Pages 150-160 doi: 10.1016/j.eng.2022.09.013

Abstract: As shown herein, in the tunnel range of 142 + 80 0–142 + 860, the fault F37 was successfullyadverse geology and identifies whether the tunnel is gradually approaching or moving away from the fault

Keywords： Mineral anomaly     Adverse geology     Fault     Alteration     Anomaly threshold    

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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 faultSpecifically, the proposed strategy is conducted through the following three steps.Third, the intrinsic manifolds are weighted to recover the fault-related transients.

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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Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3

Abstract: Gearbox fault diagnosis based on vibration sensing has drawn much attention for a long time.Numerical simulation and experimental results demonstrate the proposed method can realize gear faultThe identified GMS has a clear physical meaning and is thus very useful for fault diagnosis of the complicated

Keywords： gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

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Heavy vehicle dynamics with balanced suspension based on enveloping tire model

Yongjie LU, Shaopu YANG, Shaohua LI

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 476-482 doi: 10.1007/s11465-010-0120-z

Abstract: The tire-road contact mechanics is the key problem in vehicle ride comfort and road-friendliness researchIt is concluded that the quarter-vehicle model can be used to evaluate the ride comfort of vehicles;

Keywords： heavy vehicle     integral balanced suspension     enveloping properties     ride comfort     road-friendliness    

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Finite element simulation for elastic dislocation of the North-Tehran fault: The effects of geologic

Pooya ZAKIAN; Hossein ASADI HAYEH

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 533-549 doi: 10.1007/s11709-022-0802-8

Abstract: method for simulating the crustal deformation due to the dislocation of a segment of the North-Tehran faultIn this regard, a geological map of Karaj that includes the fault segment is utilized in order to createFirst, finite element analysis of homogeneous counterpart of the fault’s domain with two different sectionsThe fault was modeled with the existing heterogeneity of the domain having been considered.usefulness of the proposed models in the dislocation analysis for the Karaj segment of North-Tehran fault

Keywords： finite element method     fault dislocation     slip distribution     the North-Tehran fault     heterogeneity     geological    

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Title Author Date Type Operation

Transient performance comparison of grid-forming converters with different FRT control strategies

Journal Article

Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Journal Article

Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Journal Article

Astronauts Hitch First Ride Aboard Private Rocket to Space Station

Chris Palmer

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

Adverse Geology Identification Through Mineral Anomaly Analysis During Tunneling: Methodology and Case

Zhenhao Xu, Tengfei Yu, Peng Lin, Shucai Li

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

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article

Heavy vehicle dynamics with balanced suspension based on enveloping tire model

Yongjie LU, Shaopu YANG, Shaohua LI

Journal Article

Finite element simulation for elastic dislocation of the North-Tehran fault: The effects of geologic

Pooya ZAKIAN; Hossein ASADI HAYEH

Journal Article