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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: training and fault diagnosis, and is always time consuming and labor intensive, making the automatic hyperparameter optimization (HPO) of CNN models essential.proposes a novel automatic CNN (ACNN) for fault diagnosis, which can automatically tune its three key hyperwhich takes the training loss of CNN models as its input and can output the adjustment on these three hyperIt is compared with four commonly used HPO methods, namely, random search, Bayesian optimization, tree

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

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 187-193 doi: 10.1007/s11708-008-0030-5

Abstract: Through optimization, the steam pressure is regarded as the criterion between constant pressure and sliding
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Design parameter optimization method for a prestressed steel structure driven by multi-factor coupling

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 7,   Pages 1066-1083 doi: 10.1007/s11709-024-1084-0

Abstract: This study proposes an optimization method for design parameters (DPs) in a prestressed steel structureA data association-parameter analysis-optimization selection system is established.This correlation provides samples for parameter analysis and optimization selection.The optimal structural DPs are obtained by setting structural materials as the optimization objective

Keywords： structure design     association relationship     performance analysis     optimum selection     experimental verification    

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Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 221-248 doi: 10.1007/s11465-020-0627-x

Abstract: Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimizationThis paper conducts a comprehensive literature review of current studies on energy efficient cutting parameteroptimization to fully understand the recent advances in this research area.Current studies on energy efficient cutting parameter optimization by using experimental design methodCombined with the current status, future research directions of energy efficient cutting parameter optimization

Keywords： energy efficiency     cutting parameter     optimization     machining process    

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Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 393-409 doi: 10.1007/s11465-020-0613-3

Abstract: Second, an algorithm called SOS-ACO that combines symbiotic organisms search (SOS) and ant colony optimizationSeveral of the ACO parameter values are given, and the remaining ones are adaptively optimized by SOSThus, the complexity of ACO parameter assignment is greatly reduced.

Keywords： assembly sequence planning     ant colony optimization     symbiotic organisms search     parameter optimization    

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Optimization of power and efficiency for an irreversible Diesel heat engine

Shiyan ZHENG, Guoxing LIN

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 560-565 doi: 10.1007/s11708-010-0018-9

Abstract: The conclusions obtained in the present paper may provide some theoretical guidance for the optimal parameter

Keywords： Diesel heat engine     irreversibility     power output     efficiency     parameter optimization    

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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: improved loss function-based artificial neural network (ILF-ANN) combined with quantum particle swarm optimization

Keywords： tunnel boring machine     control parameter optimization     quantum particle swarm optimization     artificial    

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Calibration method of mesoscopic parameter in sandy cobble soil triaxial test based on PFC3D

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 12,   Pages 1924-1933 doi: 10.1007/s11709-023-0028-4

Abstract: Finally, the parameter calibration problem is transformed into a multi-objective function optimization

Keywords： sandy cobble soil     particle flow code     orthogonal experiment     regression analysis     multi-objective optimization    

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Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 85-95 doi: 10.1007/s11465-018-0491-0

Abstract: article reviews the recent studies and developments of the intelligent methods applied in the process parameterinto three categories: Case-based reasoning methods, expert system-based methods, and data fitting and optimizationA framework of process parameter determination is proposed after comprehensive discussions.

Keywords： injection molding     intelligent methods     process parameters     optimization    

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Optimization of a precision symmetric finger-clamping garlic seed-metering device

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2024555

Abstract:

● A precision symmetric finger-clamping garlic seed-metering device was designed.

Keywords： Garlic     precision seed-metering device     parameter optimization     symmetric finger-clamping device     DEM-MBD    

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Restoration of hyper-eutrophic water with a modularized and air adjustable constructed submerged plant

Jinzhong LI, Xueju LI, Shujuan SUN, Xuegong LIU, Suiliang HUANG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4,   Pages 573-584 doi: 10.1007/s11783-011-0363-x

Abstract: A modularized and air adjustable constructed submerged plant bed (CSPB) which can be used to restore the eutrophic water is introduced in this paper. This plant bed helps hydrophyte grow under poor conditions such as frequently changed water depth, impaired water transparency, algae bloom and substantial duckweed in summer, which are not naturally suitable for growing hydrophyte. This pilot study in Waihuan River of Tianjin, China, revealed that reduction of Chemical Oxygen Demand (COD), Total Nitrogen (TN) and Total Phosphorus (TP) by the use of CSPB could be reached 30%–35%, 35%–40%, 30%–40% respectively in the growing season (from March to October) and 5%–10%, 5%–15%, 7%–20% respectively in the winter (from November to February) when the detention time was 6 d. The relationships between the concentration of COD, TN, TP and the detention time fit the first-order kinetic equation well and the coefficients of determination ( ) were all above 0.9. The attenuation coefficients k of the kinetic equation were a function of the water temperature. When the water temperature was quite low or quite high, was not significantly changed with increasing or decreasing water temperature. While when the temperature was in a moderate range, an increase or decrease of water temperature would lead to a rapid increase or decrease in .

Keywords： modularized and air adjustable constructed submerged plant bed     water purification     eco-restoration techniques     aquatic plants     eutrophication    

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Design optimization of a wind turbine gear transmission based on fatigue reliability sensitivity

Genshen LIU, Huaiju LIU, Caichao ZHU, Tianyu MAO, Gang HU

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 61-79 doi: 10.1007/s11465-020-0611-5

Abstract: or insufficient fatigue reliability, require continuous improvements in the reliability-based design optimizationIn this work, a novel gear transmission optimization model based on dynamic fatigue reliability sensitivity

Keywords： gear transmission     fatigue reliability     reliabi-lity sensitivity     parameter optimization    

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Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Jie OUYANG, Bin LI, Shihua GONG

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 118-126 doi: 10.1007/s11465-013-0253-y

Abstract: In current work, an integrated optimization method was carried out to solve this problem, in which themultiple control parameters optimization, modeling and simulation were included, i.e., a multi-domainthis model, the searching area of the key control parameters was narrowed by performing integrated optimization

Keywords： LED chip sorter     multi-domain modeling and simulation     parameter optimization     modelica language    

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An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 160-172 doi: 10.1631/FITEE.1500168

Abstract: of process, voltage, and temperature (PVT) parameters significantly impacts the yield analysis and optimizationWe suggest a novel bi-objective optimization framework based on Chebyshev affine arithmetic (CAA) andThen a power-delay bi-objective optimization model is formulated by computation of cumulative distributionFinally, the AWS method is applied for power-delay optimization to generate a well-distributed set of

Keywords： Parameter variations     Parametric yield     Multi-objective optimization     Chebyshev affine     Adaptive weighted    

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Title Author Date Type Operation

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

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Journal Article

Design parameter optimization method for a prestressed steel structure driven by multi-factor coupling

Journal Article

Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Journal Article

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Journal Article

Optimization of power and efficiency for an irreversible Diesel heat engine

Shiyan ZHENG, Guoxing LIN

Journal Article

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Journal Article

Calibration method of mesoscopic parameter in sandy cobble soil triaxial test based on PFC3D

Journal Article

Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Journal Article

Optimization of a precision symmetric finger-clamping garlic seed-metering device

Journal Article

Restoration of hyper-eutrophic water with a modularized and air adjustable constructed submerged plant

Jinzhong LI, Xueju LI, Shujuan SUN, Xuegong LIU, Suiliang HUANG

Journal Article

Design optimization of a wind turbine gear transmission based on fatigue reliability sensitivity

Genshen LIU, Huaiju LIU, Caichao ZHU, Tianyu MAO, Gang HU

Journal Article

Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Jie OUYANG, Bin LI, Shihua GONG

Journal Article

An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Journal Article