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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: Aiming at surface roughness prediction in the machining process, this paper proposes a position-varyingsurface roughness prediction method based on compensated acceleration by using regression analysis.i>R-square proving the effectiveness of the filtering features, is selected as the input of the predictionMoreover, the prediction curve matches and agrees well with the actual surface state, which verifies

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

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LCF behavior and life prediction method of a single crystal nickel-based superalloy at high temperature

Zhihua ZHANG,Huichen YU,Chengli DONG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 418-423 doi: 10.1007/s11465-015-0362-x

Abstract: The predicted results of the proposed modified SWT stress method agree well with the experimental data

Keywords： life prediction     single crystal superalloy     low cycle fatigue (LCF)     crystallographic orientation     strain    

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Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural

Frontiers in Energy doi: 10.1007/s11708-023-0906-4

Abstract: The prediction of the remaining useful life (RUL) of lithium batteries not only provides a referenceIn order to improve the prediction accuracy of the RUL of LIBs, a two-phase RUL early prediction methodRMSE of all capacity estimation is less than 1.2%, and the accuracy percentage (AP) of remaining life predictionExperiments show that the method does not need human intervention and has high prediction accuracy.

Keywords： lithium-ion batteries     RUL prediction     double exponential model     neural network     Gaussian process regression    

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A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1608-1

Abstract:

● Established a quantification method of pollutant emission standard

Keywords： Industrial atmospheric pollutants     Pollutant emission standards     Quantitative method     Machine learning    

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Prediction method of foundation vibration responses induced by impact loading using modified anderson

Fang Bo

Strategic Study of CAE 2014, Volume 16, Issue 11,   Pages 96-102

Abstract:

A synthetic method, which combines theoretical model and field measurementFinally, the prediction results were compared with the measured results.The results indicates that the prediction results approximately approach to the measured results.

Keywords： prediction method     impact loading     vibration effects     anderson model    

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Macro-architectured cellular materials: Properties, characteristic modes, and prediction methods

Zheng-Dong MA

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 442-459 doi: 10.1007/s11465-018-0488-8

Abstract: First, a strain-based homogenization method was developed using an approach that separated the strainThe new method was then extended to a stress-based homogenization process based on the principle of virtual

Keywords： architectured material     cellular materials     multi-scale modeling     homogenization method     effective materialproperties     computational method    

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Discussions in prediction and precaution about haze

Zhang Kui

Strategic Study of CAE 2015, Volume 17, Issue 1,   Pages 103-113

Abstract:

Aimed at the harmfulness of low visibility weather， using digital information method found the relationshipPrediction and precaution of haze need to correctly grasp tumble state of the lower atmosphere near the

Keywords： visibility； haze； digital information prediction method； precaution    

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An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 301-310 doi: 10.1007/s11465-017-0449-7

Abstract:

A novel data-driven method based on Gaussian mixture model (GMM) and distance evaluation techniqueobtaining the health states, appropriate features are selected by DET for increasing the classification and predictionIn the prediction process, each vibration signal is decomposed into several components by empirical modeExperimental results indicate that the proposed method reliably predicts the RUL of rolling bearings.

Keywords： Gaussian mixture model     distance evaluation technique     health state     remaining useful life     rolling bearing    

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Evaluation method of multiaxial low cycle fatigue life for cubic single crystal material

CHEN Jiping, DING Zhiping

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 278-282 doi: 10.1007/s11465-007-0048-0

Abstract: to express the effect of asymmetrical cyclic loading on fatigue life, a low cycle fatigue (LCF) life prediction

Keywords： orthotropic     regression analysis     crystal material     multiaxial     prediction    

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Research on Knowledge-based Method for Satellite Fault Diagnosis and Prediction

Yang Tianshe,Yang Kaizhong,Li Huaizu

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 63-67

Abstract:

The fault diagnosis and prediction of satellites is a difficult problem due to the complex structureThis paper proposes a new method in which the use of multi-modal reasoning for satellite fault diagnosisand prediction is concerned.The method has been used in the development of the knowledge-based satellite fault diagnosis and recovery

Keywords： satellite     fault     diagnosis     prediction     multi-modal reasoning    

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Comparison of modeling methods for wind power prediction: a critical study

Rashmi P. SHETTY, A. SATHYABHAMA, P. Srinivasa PAI

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 347-358 doi: 10.1007/s11708-018-0553-3

Abstract: Prediction of power generation of a wind turbine is crucial, which calls for accurate and reliable modelscapability of ANN to map input-output relationships have resulted in an accurate model for wind power prediction

Keywords： power curve     method of least squares     cubic spline interpolation     response surface methodology     artificial    

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Prediction of the flash points of alkanes by group bond contribution method using artificial neural networks

PAN Yong, JIANG Juncheng, WANG Zhirong

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 4,   Pages 390-394 doi: 10.1007/s11705-007-0071-z

Abstract: bond contribution model using artificial neural networks, which had the high ability of nonlinear of predictionThe method can be used not only to reveal the quantitative correlation between flash points and molecular

Keywords： information     nonlinear     quantitative correlation     superior     molecular    

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Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 299-310 doi: 10.1007/s11783-015-0825-7

Abstract: The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualitiesFor the seven-day prediction, the difference in predictive accuracy was less than 5% in dry weather conditionsOverall, the k-NN method was verified to be useful for predicting WWTP influent characteristics.

Keywords： influent wastewater     prediction     data-driven model     k-nearest neighbor method (k-NN)    

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Prediction and thoughts of the Wenchuan large earthquake

Geng Qingguo

Strategic Study of CAE 2009, Volume 11, Issue 6,   Pages 123-128

Abstract:

According to many years of earthquake prediction exploring work basedon analysis of drought -earthquake relations and ordered strong earthquake activities and the methodof the "Urgent advice to enhance strong earthquake short-term/imminent monitoring and analysis prediction

Keywords： Wenchuan Large Earthquake prediction     drought-earthquake relations     strong earthquake activities order     strong geomagnetic storm combination method    

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A method to predict cooling load of large commercial buildings based on weather forecast and internal

Junbao JIA,Jincheng XING,Jihong LING,Ren PENG

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 459-465 doi: 10.1007/s11708-016-0424-8

Abstract: characteristics of the higher density and randomness, this paper presented an air-conditioning cooling load predictionmethod based on weather forecast and internal occupancy density.

Keywords： commercial building     load prediction     multiple linear regression    

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Title Author Date Type Operation

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

Journal Article

LCF behavior and life prediction method of a single crystal nickel-based superalloy at high temperature

Zhihua ZHANG,Huichen YU,Chengli DONG

Journal Article

Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural

Journal Article

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission

Journal Article

Prediction method of foundation vibration responses induced by impact loading using modified anderson

Fang Bo

Journal Article

Macro-architectured cellular materials: Properties, characteristic modes, and prediction methods

Zheng-Dong MA

Journal Article

Discussions in prediction and precaution about haze

Zhang Kui

Journal Article

An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Journal Article

Evaluation method of multiaxial low cycle fatigue life for cubic single crystal material

CHEN Jiping, DING Zhiping

Journal Article

Research on Knowledge-based Method for Satellite Fault Diagnosis and Prediction

Yang Tianshe,Yang Kaizhong,Li Huaizu

Journal Article

Comparison of modeling methods for wind power prediction: a critical study

Rashmi P. SHETTY, A. SATHYABHAMA, P. Srinivasa PAI

Journal Article

Prediction of the flash points of alkanes by group bond contribution method using artificial neural networks

PAN Yong, JIANG Juncheng, WANG Zhirong

Journal Article

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Journal Article

Prediction and thoughts of the Wenchuan large earthquake

Geng Qingguo

Journal Article

A method to predict cooling load of large commercial buildings based on weather forecast and internal

Junbao JIA,Jincheng XING,Jihong LING,Ren PENG

Journal Article