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Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 394-402 doi: 10.1007/s11708-012-0211-0

Abstract: This paper investigates the capability of support vector machines (SVM) for prediction of fault classificationThe SVM, as a novel type of machine learning based on statistical learning theory, achieves good generalizationHere, the SVM has been used as a classification.The inputs of the SVM model are power and voltage values.equation has been developed for the prediction of the fault in the power system based on the developed SVM

Keywords： support vector machines (SVM)     structural risk minimization (SRM)     equivalent capacity margin (ECM)     restoration    

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Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 45-50

Abstract: powerhouse,and then the vibration response forecasting model of the powerhouse is built based on LS-SVM

Keywords： powerhouse     coupled vibration     particle swarm optimization algorithm     least squares support vector machines    

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Robust SVM-direct torque control of induction motor based on sliding mode controller and sliding mode

Abdelkarim AMMAR,Amor BOUREK,Abdelhamid BENAKCHA

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 836-849 doi: 10.1007/s11708-017-0444-z

Abstract: A robust electromagnetic torque and flux controllers are designed to overcome the conventional SVM-DTCstationary frame and give them to the controlled motor after modulation by a space vector modulation (SVM

Keywords： induction motor     direct torque control (DTC)     space vector modulation (SVM)     sliding mode control (SMC)    

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Two-stage scheduling on batch and single machines with limited waiting time constraint

Zhongshun SHI, Zewen HUANG, Leyuan SHI

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 368-374 doi: 10.15302/J-FEM-2017034

Abstract: This study addresses the problem of two-stage scheduling on batch and single machines with limited waiting

Keywords： batch machine     flow shop     makespan     limited waiting time    

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Modular design of typical rigid links in parallel kinematic machines: Classification and topology optimization

Xinjun LIU, Xiang CHEN, Zhidong LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 2,   Pages 199-209 doi: 10.1007/s11465-012-0315-6

Abstract:

Due to the demand of reconfigurable system in parallel kinematic machines (PKMs), modular design technology

Keywords： parallel kinematic machines (PKMs)     modular design     classification     topology optimization and improved Guide-Weight    

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An energy consumption prediction approach of die casting machines driven by product parameters

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 868-886 doi: 10.1007/s11465-021-0656-0

Abstract: Die casting machines, which are the core equipment of the machinery manufacturing industry, consume greatThe energy consumption prediction of die casting machines can support energy consumption quota, processNevertheless, due to the uncertainty and complexity of the energy consumption in die casting machinesTo fill this gap, this paper proposes an energy consumption prediction approach for die casting machinesConsequently, a systematic energy consumption prediction approach for die casting machines, involving

Keywords： die casting machine     energy consumption prediction     product parameters    

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Comments from young scholars: Can machines completely replace humans in manufacturing processes?

Shanlin YANG

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 541-547 doi: 10.15302/J-FEM-2018207

Abstract:
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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Research and Development in the Field of Parallel Kinematic Machines

Wang Jinsong,Li Tiemin,Duan Guanghong

Strategic Study of CAE 2002, Volume 4, Issue 6,   Pages 63-70

Abstract:

Parallel kinematic machines are in the process of industrialization.In this paper, research and development of parallel kinematic machines is investigated from various aspects

Keywords： parallel manipulator     parallel kinematic machines(PKM)     drive     control system    

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Key tunneling technology and configuring big machines in Qingdao Jiaozhouwan subsea tunnel

Ma Dong,Tan Zhongsheng

Strategic Study of CAE 2009, Volume 11, Issue 7,   Pages 45-52

Abstract: depth is 42 m and the minimal rock cover depth is 30 m.The key tunneling technology and configuring big machines

Keywords： Jiaozhouwan subsea tunnel     drilling & blast     construct     configuring big machines    

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Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 72-82 doi: 10.1007/s11709-013-0185-y

Abstract: A support vector machine (SVM) model has been developed for the prediction of liquefaction susceptibilityThis paper examines the potential of SVM model in prediction of liquefaction using actual field coneThe SVM, a novel learning machine based on statistical theory, uses structural risk minimization (SRMFurther, developed SVM model has been applied to different case histories available globally and theresults obtained confirm the capability of SVM model.

Keywords： earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

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Goryachkin’s agricultural mechanics

Vera CHINENOVA

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 87-94 doi: 10.1007/s11465-016-0378-x

Abstract:

The paper contributes to the development of applied mechanics by establishing a new discipline, namely, agricultural mechanics by academician Vasilii Prohorovich Goryachkin (1868–1935) who was an apprentice of Nikolay Yegorovich Zhukovsky and a graduate of the Moscow University (current known as Moscow State University) and the Imperial Higher Technical School.

Keywords： theory of mechanisms and machines     agricultural machinery engineering     agricultural mechanics    

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A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 187-223 doi: 10.1007/s11708-021-0722-7

Abstract: In the last two decades, renewable energy has been paid immeasurable attention to toward the attainment of electricity requirements for domestic, industrial, and agriculture sectors. Solar forecasting plays a vital role in smooth operation, scheduling, and balancing of electricity production by standalone PV plants as well as grid interconnected solar PV plants. Numerous models and techniques have been developed in short, mid and long-term solar forecasting. This paper analyzes some of the potential solar forecasting models based on various methodologies discussed in literature, by mainly focusing on investigating the influence of meteorological variables, time horizon, climatic zone, pre-processing techniques, air pollution, and sample size on the complexity and accuracy of the model. To make the paper reader-friendly, it presents all-important parameters and findings of the models revealed from different studies in a tabular mode having the year of publication, time resolution, input parameters, forecasted parameters, error metrics, and performance. The literature studied showed that ANN-based models outperform the others due to their nonlinear complex problem-solving capabilities. Their accuracy can be further improved by hybridization of the two models or by performing pre-processing on the input data. Besides, it also discusses the diverse key constituents that affect the accuracy of a model. It has been observed that the proper selection of training and testing period along with the correlated dependent variables also enhances the accuracy of the model.

Keywords： forecasting techniques     hybrid models     neural network     solar forecasting     error metric     support vector machine (SVM    

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A naive optimization method for multi-line systems with alternative machines

Weichang KONG, Fei QIAO, Qidi WU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 377-392 doi: 10.1007/s11465-019-0544-z

Abstract: The scheduling of parallel machines and the optimization of multi-line systems are two hotspots in theConsequently, optimization of multi-line systems with alternative machines requires a simple mechanismTo define a general multi-line system with alternative machines, this study introduces the capability

Keywords： multi-line systems     alternative machines     feedback control     closed-loop optimization    

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investigation and comparative study of inter-turn short-circuits and unbalanced voltage supply in induction machines

Fatima BABAA, Abdelmalek KHEZZAR, Mohamed el kamel OUMAAMAR

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 271-278 doi: 10.1007/s11708-013-0258-6

Abstract: A transient model for an induction machine with stator winding turn faults on a single phase is derived using reference frame transformation theory. The negative sequence component and the 3rd harmonic are often considered as accurate indicators. However, small unbalance in the supply voltage and/or in the machine structure that exists in any real system engenders the same harmonics components. In this case, it is too difficult to distinguish between the current harmonics due to the supply voltage and those originated by inter-turn short-circuit faults. For that, to have the correct diagnosis and to increase the sensitivity and the reliability of the diagnostic system, it is crucial to provide the relationship between the inter-turn short-circuits in the stator winding and the supply voltage imbalance through an accurate mathematical model and via a series of experimental essays.

Keywords： induction machines     fault indicator     inter-turn short-circuit fault     unbalance supply voltage    

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Title Author Date Type Operation

Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Journal Article

Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Journal Article

Robust SVM-direct torque control of induction motor based on sliding mode controller and sliding mode

Abdelkarim AMMAR,Amor BOUREK,Abdelhamid BENAKCHA

Journal Article

Two-stage scheduling on batch and single machines with limited waiting time constraint

Zhongshun SHI, Zewen HUANG, Leyuan SHI

Journal Article

Modular design of typical rigid links in parallel kinematic machines: Classification and topology optimization

Xinjun LIU, Xiang CHEN, Zhidong LI

Journal Article

An energy consumption prediction approach of die casting machines driven by product parameters

Journal Article

Comments from young scholars: Can machines completely replace humans in manufacturing processes?

Shanlin YANG

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Research and Development in the Field of Parallel Kinematic Machines

Wang Jinsong,Li Tiemin,Duan Guanghong

Journal Article

Key tunneling technology and configuring big machines in Qingdao Jiaozhouwan subsea tunnel

Ma Dong,Tan Zhongsheng

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

Goryachkin’s agricultural mechanics

Vera CHINENOVA

Journal Article

A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Journal Article

A naive optimization method for multi-line systems with alternative machines

Weichang KONG, Fei QIAO, Qidi WU

Journal Article

investigation and comparative study of inter-turn short-circuits and unbalanced voltage supply in induction machines

Fatima BABAA, Abdelmalek KHEZZAR, Mohamed el kamel OUMAAMAR

Journal Article