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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 faultThe results of each case of reverse and normal faulting are independently discussed and then compared

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

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Genomic variations in the counterpart normal controls of lung squamous cell carcinomas

Dalin Zhang, Liwei Qu, Bo Zhou, Guizhen Wang, Guangbiao Zhou

Frontiers of Medicine 2018, Volume 12, Issue 3,   Pages 280-288 doi: 10.1007/s11684-017-0580-1

Abstract: However, few studies have investigated the genomic variations that occur only in normal tissues thatIn this study, we sequenced the whole genomes of three normal lung tissue samples and their paired adjacentof the normal lung tissues against that of the paired tumors, the reference human genome, the dbSNP138To expand these observations, the whole exome sequences of 478 counterpart normal controls (CNCs) andSixteen genomic variations were called in the three normal lung tissues.

Keywords： lung cancer     counterpart normal control     genomic variations    

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Feedback linearization based control for weak grid connected PV system under normal and abnormal conditions

Rahul SHARMA,Sathans SUHAG

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 400-409 doi: 10.1007/s11708-017-0459-5

Abstract: terms in the LCL filter, the transient behavior under sudden changes, and the voltage support under fault

Keywords： PV system     grid interface     feedback linearization     inverter     LCL filter    

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Dynamic in-plane transversal normal stresses in the concrete face of CFRD

Neftalí SARMIENTO-SOLANO, Miguel P. ROMO

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 135-148 doi: 10.1007/s11709-018-0481-7

Abstract: CFRDs) such as concrete cracking and joint's water stops distressing where high in-plane transversal normalprocedure is the dynamic complement of a method recently developed to evaluate in-plane transversal normalUsing these two procedures in a sequential manner, it is possible to define the concrete slab in-plane normalIn the above reference, the method to evaluate the concrete face in-plane transversal normal stresses

Keywords： CFR dams     dynamic analysis     in-plane normal stresses     concrete face    

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Study on the Universality of the Normal Cloud Model

Li Deyi,Liu Changyu

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 28-34

Abstract: The normal distribution is very popular in the nature and human society.The normal cloud models not only broaden the formation conditions of the normal distribution but alsomake the normal membership function be the expectation of the random membership degree.In this paper, the universality of the normal cloud model is proved,which is more superior and easier

Keywords： normal distribution function     membership degree     normal cloud model     granularity     universality    

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Proof of the heavy tailed property of normal cloud model

Li Deyi,Liu Changyu,Gan Wenyan

Strategic Study of CAE 2011, Volume 13, Issue 4,   Pages 20-23

Abstract:

Normal distribution and heavy tailed distribution are very importantThe probability density function of normal distribution decay exponentially to 0.The majority of normal random variable values are around the mathematical expectation.The probability density function decays power exponentially to 0.In this paper, we proved that the normalThe parameter He(hyper entropy) of the normal cloud model is the bridge from normal distribution to heavy

Keywords： normal distribution     heavy tailed distribution     normal cloud model     kurtosis    

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Modeling and simulation of normal and hemiparetic gait

Lely A. LUENGAS,Esperanza CAMARGO,Giovanni SANCHEZ

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 233-241 doi: 10.1007/s11465-015-0343-0

Abstract: Here we present a new model that is capable of reproducing the properties of walking, normal and pathologicalDepending on the value of the factor present in the Rayleigh dissipation function, both normal and pathologicalFirst of all, we apply it in the normal gait and then in the permanent hemiparetic gait.There have been studies and simulations to show normal human gait, but few of them have focused on abnormalpredictions with gait measurements show that the model can reproduce the significant characteristics of normal

Keywords： bipedal gait     biomechanics     dynamic walking     gait model     human gait     hemiparetic human gait    

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Efficientmesh denoising via robust normal filtering and alternate vertex updating Article

Tao LI, Jun WANG, Hao LIU, Li-gang LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1828-1842 doi: 10.1631/FITEE.1601229

Abstract: Based on the robust guided normal estimation and alternate vertex updating strategy, we investigate aBy combining both overall normal distribution of all faces in a CAN and individual normal influence ofdata indicate that our method adapts to various noise, both Gaussian and impulsive, no matter in the normal

Keywords： Mesh denoising     Guided normal filtering     Alternate vertex updating     Corner-aware neighborhoods    

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Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 38-48 doi: 10.1007/s11709-018-0479-1

Abstract: includes: (a) evaluation and comparison of the existing analytical models to estimating the MOE in normal

Keywords： modulus of elasticity     normal strength normal weight concrete     empirical models     design codes     compressive    

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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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Mathematical model and manufacture programming of loxodromic-type normal circular-arc spiral bevel gear

Zhenyun DUAN, Houjun CHEN, Zhilan JU, Jian LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 312-321 doi: 10.1007/s11465-012-0308-5

Abstract:

In this paper, loxodromic-type normal circular-arc spiral bevel gear is proposed as a novel applicationMoreover, a pair of loxodromic-type normal circular-arc spiral bevel gears is manufactured on computer

Keywords： loxodrome     circular-arc tooth profile     Wildhaber-Novikov (W-N) gear     spiral bevel gear    

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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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Title Author Date Type Operation

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

Genomic variations in the counterpart normal controls of lung squamous cell carcinomas

Dalin Zhang, Liwei Qu, Bo Zhou, Guizhen Wang, Guangbiao Zhou

Journal Article

Feedback linearization based control for weak grid connected PV system under normal and abnormal conditions

Rahul SHARMA,Sathans SUHAG

Journal Article

Dynamic in-plane transversal normal stresses in the concrete face of CFRD

Neftalí SARMIENTO-SOLANO, Miguel P. ROMO

Journal Article

Study on the Universality of the Normal Cloud Model

Li Deyi,Liu Changyu

Journal Article

Proof of the heavy tailed property of normal cloud model

Li Deyi,Liu Changyu,Gan Wenyan

Journal Article

Modeling and simulation of normal and hemiparetic gait

Lely A. LUENGAS,Esperanza CAMARGO,Giovanni SANCHEZ

Journal Article

Efficientmesh denoising via robust normal filtering and alternate vertex updating

Tao LI, Jun WANG, Hao LIU, Li-gang LIU

Journal Article

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

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

Mathematical model and manufacture programming of loxodromic-type normal circular-arc spiral bevel gear

Zhenyun DUAN, Houjun CHEN, Zhilan JU, Jian LIU

Journal Article

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

Journal Article