Resource Type

Journal Article 157

Conference Videos 3

Year

2023 9

2022 12

2021 20

2020 9

2019 12

2018 7

2017 6

2016 8

2015 6

2014 6

2013 2

2012 5

2011 9

2010 11

2009 3

2008 7

2007 5

2006 5

2005 4

2004 1

open ︾

Keywords

acceleration 4

Acceleration 2

C/N ratio 2

COD/N ratio 2

Denitrification 2

Microbial community 2

Salinity 2

additive 2

different 2

stability 2

1 1

2-dimensions optical orthogonal square codes (2D-OOSC) 1

3D printing 1

5-pentamethylene diisocyanate 1

N-doped carbon nanotubes 1

AF (atrial fibrillation) 1

Abaqus secondary development 1

Adaptive robust beamformer 1

Additive manufacturing 1

open ︾

Search scope:

排序: Display mode:

Experimental study of structural damage identification based on modal parameters and decay ratio of accelerationsignals

Zhigen WU, Guohua LIU, Zihua ZHANG

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1,   Pages 112-120 doi: 10.1007/s11709-010-0069-3

Abstract: A novel damage assessment method based on the decay ratio of acceleration signals (DRAS) was proposedThe results clearly show that DRAS increases in linear elasticity state and microcrack propagation state, while DRAS decreases in macrocrack propagation state.analysis was developed considering the beat phenomenon in the nonlinear state to explain the turn point of DRASWith better sensibility of damage than modal parameters, probably DRAS is a promising damage indicator

Keywords: damage assessment     decay ratio of acceleration signals (DRAS)     wavelet transform (WT)     modal analysis     reinforced    

Modeling and verifying chlorine decay and chloroacetic acid formation in drinking water chlorination

Wenjun LIU, Shaoying QI,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1,   Pages 65-72 doi: 10.1007/s11783-010-0010-y

Abstract: presents a phenomenological model that can be used by the water professionals to quantify chlorine decayThe results also demonstrated that the effect of chlorine dose on the rate of chlorine decay can be quantitativelyThe kinetic model developed was validated for chlorine decay and chloroacetic acid formation in finished

Keywords: chlorine demand     chlorine decay     chloroacetic acids     disinfection byproducts     model    

A new type of quadratic acceleration method

Changqing LI, Menglin LOU,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 302-310 doi: 10.1007/s11709-010-0026-1

Abstract: The polynomial acceleration method for time history analysis is presented, in which accelerations betweenWhen stability field and computational accuracy are taken into account at the same time, the quadratic accelerationmethod is superior to linear and cubic acceleration methods in choosing the maximum acceptable timeIt is also shown that the quadratic acceleration method has desirable arithmetic damp, amplitude decay

Keywords: polynomial acceleration method     convergence     stability     square acceleration method    

Position-varying surface roughness prediction method considering compensated acceleration in milling

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 855-867 doi: 10.1007/s11465-021-0649-z

Abstract: process, this paper proposes a position-varying surface roughness prediction method based on compensated accelerationThe actual vibration state at any processing position is obtained through the single-point monitoring accelerationSeven acceleration features are extracted, and valley, which has the highest R-square proving

Keywords: surface roughness prediction     compensated acceleration     milling     thin-walled workpiece    

Design and characteristics of electric supercharger for diesel engine acceleration by additional rapid

YAO Chun-de, ZHOU Hong-xiu

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 409-412 doi: 10.1007/s11465-006-0048-5

Abstract: motor was developed to solve the problem of smoke caused by the turbocharger s sluggish response during accelerationTherefore, it is a feasible way to reduce smoke emission and improve the acceleration performance.

Keywords: acceleration     velocity distribution     high-speed brushless     turbocharger     electric supercharger    

Characteristics of metal magnetic memory signals of different steels under static tension

Yiliang ZHANG, Ruibin GOU, Jimin LI, Gongtian SHEN,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 226-232 doi: 10.1007/s11465-010-0012-2

Abstract: To study the characteristics of metal magnetic memory (MMM) signals of different steels during tensileDuring the various deformation periods, MMM signals are tested, and micrometallographic is observed.statistical methods to study the macro and micro corresponding relationships and difference among magnetic signalslocation; there is a direct relationship between the intragranular slip and the changes of magnetic signals

Keywords: metal magnetic memory (MMM)     magnetic intensity (Hp)     static tension     weld    

Solubility of CO in solid-state PET measured by pressure-decay method

CHEN Miaocan, ZHAO Ling, LIU Tao, WU Jiangwei, YUAN Weikang

Frontiers of Chemical Science and Engineering 2008, Volume 2, Issue 2,   Pages 214-219 doi: 10.1007/s11705-008-0040-1

Abstract: The solubility of CO in solid-state PET was measured using a pressure-decay method.

Keywords: Sanchez-Lacombe equation     solid-state PET     different     relationship     calorimetry    

Hydraulic Pressure Extremes Ratio & Extremes Ratio Efficiencies

Qi Maolin

Strategic Study of CAE 2001, Volume 3, Issue 4,   Pages 73-75

Abstract: applies basic formula to the calculation of a relationship between the hydraulic pressure extremes ratioof hydraulic system and the extremes ratio efficiencies.This relationship shows that the greater the hydraulic pressure extremes ratio is, the lower the extremesratio efficiencies are.The article holds that the hydraulic pressure extremes ratio can be designed and chosen.

Keywords: hydraulic pressure extremes ratio     extremes ratio efficiencies     hydraulic system    

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: The gear meshing stiffness (GMS) identification approach is proposed by using housing vibration signals

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

One DOF mechanism for the mechanical harvest of vines in an arbor structure and the validation of the acceleration

Osvaldo PENISI,José BOCCA,Horacio AGUILAR,Pedro BOCCA

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 221-232 doi: 10.1007/s11465-015-0347-9

Abstract: a system has been designed to measure the accelerations at the bars and the rocker to validate the accelerationvalues that detach the grape berries in a prototype in a lab experiment, to ensure that the acceleration

Keywords: harvest     mechanisms     one DOF     vibration    

Controlling interstory drift ratio profiles via topology optimization strategies

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 165-178 doi: 10.1007/s11709-022-0892-3

Abstract: proposed approach involves solving a min–max optimization problem to suppress the maximum interstory drift ratioThe proposed methodology can shape the interstory drift ratio profiles into inverted triangular or quadratic

Keywords: interstory drift ratio     aggregation function     bound formulation     min–max problem     topology optimization    

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Intelligent power systems can improve operational efficiency by installing a large number of sensors. Data-based methods of supervised learning have gained popularity because of available Big Data and computing resources. However, the common paradigm of the loss function in supervised learning requires large amounts of labeled data and cannot process unlabeled data. The scarcity of fault data and a large amount of normal data in practical use pose great challenges to fault detection algorithms. Moreover, sensor data faults in power systems are dynamically changing and pose another challenge. Therefore, a fault detection method based on self-supervised feature learning was proposed to address the above two challenges. First, self-supervised learning was employed to extract features under various working conditions only using large amounts of normal data. The self-supervised representation learning uses a sequence-based Triplet Loss. The extracted features of large amounts of normal data are then fed into a unary classifier. The proposed method is validated on exhaust gas temperatures (EGTs) of a real-world 9F gas turbine with sudden, progressive, and hybrid faults. A comprehensive comparison study was also conducted with various feature extractors and unary classifiers. The results show that the proposed method can achieve a relatively high recall for all kinds of typical faults. The model can detect progressive faults very quickly and achieve improved results for comparison without feature extractors in terms of F1 score.

Keywords: fault detection     unary classification     self-supervised representation learning     multivariate nonlinear time series    

Inverse Analysis and Design of the Rational Acceleration of Mine Winder Rope System

Peng Youduo,Liu Deshun,Zhu Pingyu,Zhang Yongzhong,Guo Yingfu

Strategic Study of CAE 2002, Volume 4, Issue 4,   Pages 64-68

Abstract:

The prompting acceleration of hoisting rope system determines the winderssitting comfort and the dynamiccomfort of hoisting cage and the little dynamic oscillation of hoisting rope as the aim, the rational acceleration

Keywords: hoisting rope system     prompting acceleration     ride comfort ableness     dynamic tensile force     inverse design    

Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independent

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 486-496 doi: 10.1631/FITEE.1400299

Abstract: Ocular artifacts cause the main interfering signals within electroencephalogram (EEG) signal measurementsAn adaptive filter based on reference signals from an electrooculogram (EOG) can reduce ocular interference, but collecting EOG signals during a long-term EEG recording is inconvenient and uncomfortable for theThen the RLS based adaptive filter uses SC-ICs as reference signals to reduce interference, which avoids

Keywords: Ocular artifacts     Electroencephalogram (EEG)     Electrooculogram (EOG)     Brain-computer interface (BCI)     Spatial constraint independent component analysis based recursive least squares (SCICA-RLS)    

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

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: envelope detection with fast Fourier transform (FFT) and continuous wavelet transform (CWT) of vibration signalsa bearing with defects on inner race and rolling element, have been examined at low signal to noise ratioBoth simulated and experimental signals from identical bearings have been considered for the purposeThe bearings have been modeled as spring-mass-dashpot systems and the simulated signals have been obtainedCWT with the proposed wavelets overcomes the short coming of FFT while processing a noisy vibration signals

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

Title Author Date Type Operation

Experimental study of structural damage identification based on modal parameters and decay ratio of accelerationsignals

Zhigen WU, Guohua LIU, Zihua ZHANG

Journal Article

Modeling and verifying chlorine decay and chloroacetic acid formation in drinking water chlorination

Wenjun LIU, Shaoying QI,

Journal Article

A new type of quadratic acceleration method

Changqing LI, Menglin LOU,

Journal Article

Position-varying surface roughness prediction method considering compensated acceleration in milling

Journal Article

Design and characteristics of electric supercharger for diesel engine acceleration by additional rapid

YAO Chun-de, ZHOU Hong-xiu

Journal Article

Characteristics of metal magnetic memory signals of different steels under static tension

Yiliang ZHANG, Ruibin GOU, Jimin LI, Gongtian SHEN,

Journal Article

Solubility of CO in solid-state PET measured by pressure-decay method

CHEN Miaocan, ZHAO Ling, LIU Tao, WU Jiangwei, YUAN Weikang

Journal Article

Hydraulic Pressure Extremes Ratio & Extremes Ratio Efficiencies

Qi Maolin

Journal Article

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

Journal Article

One DOF mechanism for the mechanical harvest of vines in an arbor structure and the validation of the acceleration

Osvaldo PENISI,José BOCCA,Horacio AGUILAR,Pedro BOCCA

Journal Article

Controlling interstory drift ratio profiles via topology optimization strategies

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

Inverse Analysis and Design of the Rational Acceleration of Mine Winder Rope System

Peng Youduo,Liu Deshun,Zhu Pingyu,Zhang Yongzhong,Guo Yingfu

Journal Article

Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independent

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Journal Article

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

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Journal Article