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Construction risk estimation of TBM and discussion on key risk countermeasures of Bohai Strait tunnel

Li Da,Hong Kairong and Tan Zhongsheng

Strategic Study of CAE 2013, Volume 15, Issue 12,   Pages 95-100

Abstract:

The identification and estimation of construction risks of Bohai Straitanalytic hierarchy process (AHP) fuzzy comprehensive evaluation method, with the construction risks estimationThe results show that the construction risk grade of Bohai Strait tunnel is grade Ⅲ.

Keywords： Bohai Strait tunnel     analytic hierarchy process     fuzzy evaluation     risk estimation     risk countermeasure    

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A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution

Salman HABIB, Muhammad Mansoor KHAN, Farukh ABBAS, Muhammad NUMAN, Yaqoob ALI, Houjun TANG, Xuhui YAN

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 298-317 doi: 10.1007/s11708-019-0648-5

Abstract: Power systems are being transformed to enhance the sustainability. This paper contributes to the knowledge regarding the operational process of future power networks by developing a realistic and stochastic charging model of electric vehicles (EVs).Large-scale integration of EVs into residential distribution networks (RDNs) is an evolving issue of paramount significance for utility operators. Unbalanced voltages prevent effective and reliable operation of RDNs. Diversified EV loads require a stochastic approach to predict EVs charging demand, consequently, a probabilistic model is developed to account several realistic aspects comprising charging time, battery capacity, driving mileage, state-of-charge, traveling frequency, charging power, and time-of-use mechanism under peak and off-peak charging strategies. An attempt is made to examine risks associated with RDNs by applying a stochastic model of EVs charging pattern. The output of EV stochastic model obtained from Monte-Carlo simulations is utilized to evaluate the power quality parameters of RDNs. The equipment capability of RDNs must be evaluated to determine the potential overloads. Performance specifications of RDNs including voltage unbalance factor, voltage behavior, domestic transformer limits and feeder losses are assessed in context to EV charging scenarios with various charging power levels at different penetration levels. Moreover, the impact assessment of EVs on RDNs is found to majorly rely on the type and location of a power network.

Keywords： electric vehicles (EVs)     residential distribution networks (RDNs)     voltage unbalance factor (VUF)     state-of charge (SOC)     time-of-use (TOU)    

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Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 47-56 doi: 10.1007/s11708-011-0159-5

Abstract: results proves that the swarm tuned artificial neural network (ANN) estimator is best suited for accurate estimation

Keywords： artificial intelligence     power distribution control     state estimation    

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An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 801-816 doi: 10.1007/s11708-020-0687-y

Abstract: the mathematical model of the electricity-gas interconnected integrated energy system and its state estimationFinally, a distributed state estimation framework is formed by combining the synchronous alternatingdirection multiplier method to achieve an efficient estimation of the state of the integrated energymethod are only 0.0132% and 0.0864%, much lower than the estimation error by using the Lagrangian relaxationBesides, compared with the centralized estimation method, the proposed distributed method saves 5.42

Keywords： integrated energy system     state estimation     electricity-gas coupling energy system     nonlinear coupling     distributed    

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Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 524-532 doi: 10.15302/J-FEM-2018034

Abstract:

Residual life estimation is essential for reliability engineering.effectiveness and practicability of the proposed method are validated by comparing it with residual life estimation

Keywords： residual life estimation     Bayes model     linear Wiener process    

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Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 2,   Pages 167-171 doi: 10.1007/s11705-009-0006-y

Abstract: The thermal degradation behaviors of polycarbonate/polymethylphenylsilsesquioxane (FRPC) composites were investigated by thermogravimetric analysis (TGA) under isothermal conditions in nitrogen atmosphere. The isothermal kinetics equation was used to describe the thermal degradation process. The results showed that activation energy ( ), in the case of isothermal degradation, was a quick increasing function of conversion (α) for polycarbonate (PC) but was a strong and decreasing function of conversion for FRPC. Under the isothermal condition, the addition of polymethylphenylsilsesquioxane (PMPSQ) retardanted the thermal degradation and enhanced the thermal stability of PC during the early and middle stages of thermal degradation. It also indicated a possible existence of a difference in nucleation, nuclei growth, and gas diffusion mechanism in the thermal degradation process between PC and FRPC. Meanwhile, the addition of PMPSQ influenced the lifetime of PC, but the composite still met the demand in manufacturing and application.

Keywords： polycarbonate     polymethylphenylsilsesquioxane     thermal degradation kinetics     activation energy     lifetime    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and driveSecondly, a coordination estimation method is further applied to identify the parameters of the DFIGand the drive train simultaneously with the purpose of attaining the global optimal estimation resultsThe main benefit of the proposed scheme is the improved estimation accuracy.Estimation results confirm the applicability of the proposed estimation technique.

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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Penetrance estimation of variants in paroxysmal kinesigenic dyskinesia and infantile convulsions

Frontiers of Medicine 2021, Volume 15, Issue 6,   Pages 877-886 doi: 10.1007/s11684-021-0863-4

Abstract: PRRT2-related disorders, with patients from Asia or carrying truncated variants at a higher risk

Keywords： penetrance     PRRT2     paroxysmal kinesigenic dyskinesia     infantile convulsions    

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Smart model for accurate estimation of solar radiation

Lazhar ACHOUR, Malek BOUHARKAT, Ouarda ASSAS, Omar BEHAR

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 383-399 doi: 10.1007/s11708-017-0505-3

Abstract: Prediction of solar radiation has drawn increasing attention in the recent years. This is because of the lack of solar radiation measurement stations. In the present work, 14 solar radiation models have been used to assess monthly global solar radiation on a horizontal surface as function of three parameters: extraterrestrial solar irradiance ( ), duration sunshine ( ) and daylight hours ( ). Since it has been observed that each model is adequate for some months of the year, one model cannot be used for the prediction of the whole year. Therefore, a smart hybrid system is proposed which selects, based on the intelligent rules, the most suitable prediction model of the 14 models listed in this study. For the test and evaluation of the proposed models, Tamanrasset city, which is located in the south of Algeria, is selected for this study. The meteorological data sets of five years (2000–2004) have been collected from the Algerian National Office of Meteorology (NOM), and two spatial databases. The results indicate that the new hybrid model is capable of predicting the monthly global solar radiation, which offers an excellent measuring accuracy of values ranging from 93% to 97% in this location.

Keywords： global solar radiation     statistical indicator     hybrid model     spatial database     correlation coefficients    

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A frequency error estimation for isogeometric analysis of Kirchhoff–Love cylindrical shells

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0006-x

Abstract: A frequency error estimation is presented for the isogeometric free vibration analysis of Kirchhoff–Love

Keywords： isogeometric analysis     Kirchhoff–Love cylindrical shell     free vibration     frequency error     convergence    

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Joint DOA and channel estimation with data detection based on 2D unitary ESPRITin massive MIMO systems Article

Jing-ming KUANG, Yuan ZHOU, Ze-song FEI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 6,   Pages 841-849 doi: 10.1631/FITEE.1700025

Abstract: We propose a novel method for joint two-dimensional (2D) direction-of-arrival (DOA) and channel estimationThe conventional DOA estimation algorithms usually assume that the channel impulse responses are knownIn contrast, a joint DOA and channel estimation scheme is proposed, which first estimates the channel

Keywords： Two-dimensional (2D) direction-of-arrival (DOA) estimation     Channel impulse response estimation     Data    

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Understanding and addressing the environmental risk of microplastics

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1612-5

Abstract: Hence, great uncertainties might exist in microplastics exposure and health risk assessment based on

Keywords： Emerging contaminants     Microplastics     Environment risk     Health effect    

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Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Engineering doi: 10.1016/j.eng.2023.10.004

Abstract: Identifying workers’ construction activities or behaviors can enable managers to better monitor labor efficiency and construction progress. However, current activity analysis methods for construction workers rely solely on manual observations and recordings, which consumes considerable time and has high labor costs. Researchers have focused on monitoring on-site construction activities of workers. However, when multiple workers are working together, current research cannot accurately and automatically identify the construction activity. This research proposes a deep learning framework for the automated analysis of the construction activities of multiple workers. In this framework, multiple deep neural network models are designed and used to complete worker key point extraction, worker tracking, and worker construction activity analysis. The designed framework was tested at an actual construction site, and activity recognition for multiple workers was performed, indicating the feasibility of the framework for the automated monitoring of work efficiency.

Keywords： Pose estimation     Activity analysis     Object tracking     Construction workers     Automatic systems    

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Ecological Risk Management of Drinking Water Project: The Case Study of Kunming City

Ji-liang Zheng,Jun Hu,Xuan Zhou,Ching Yuen Luk

Frontiers of Engineering Management 2015, Volume 2, Issue 3,   Pages 311-319 doi: 10.15302/J-FEM-2015045

Abstract: The ecological risk management of drinking water project is an important means of ensuring the safetyBased on ecological risk assessment and management theories, this paper establishes an ecological riskIts ecological risk management of drinking water has attracted the attention of both the local government

Keywords： drinking water project     ecological risk     ecological risk assessment     risk management    

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A novel period estimation method for X-ray pulsars based on frequency subdivision

Li-rong SHEN,Xiao-ping LI,Hai-feng SUN,Hai-yan FANG,Meng-fan XUE

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 858-870 doi: 10.1631/FITEE.1500052

Abstract: Period estimation of X-ray pulsars plays an important role in X-ray pulsar based navigation (XPNAV).The fast Lomb periodogram is suitable for period estimation of X-ray pulsars, but its performance infrequency subdivision and the continuous Lomb periodogram (CLP) is proposed to improve precision of period estimationexperiments show that when observation time is shorter than 135 s, the proposed method improves period estimationFurthermore, the proposed method performs better than efsearch (a period estimation method of HEAsoft

Keywords： Pulsar navigation     Period estimation     Frequency subdivision     Continuous Lomb periodogram    

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Title Author Date Type Operation

Construction risk estimation of TBM and discussion on key risk countermeasures of Bohai Strait tunnel

Li Da,Hong Kairong and Tan Zhongsheng

Journal Article

A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution

Salman HABIB, Muhammad Mansoor KHAN, Farukh ABBAS, Muhammad NUMAN, Yaqoob ALI, Houjun TANG, Xuhui YAN

Journal Article

Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Journal Article

An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Journal Article

Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Journal Article

Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

Penetrance estimation of variants in paroxysmal kinesigenic dyskinesia and infantile convulsions

Journal Article

Smart model for accurate estimation of solar radiation

Lazhar ACHOUR, Malek BOUHARKAT, Ouarda ASSAS, Omar BEHAR

Journal Article

A frequency error estimation for isogeometric analysis of Kirchhoff–Love cylindrical shells

Journal Article

Joint DOA and channel estimation with data detection based on 2D unitary ESPRITin massive MIMO systems

Jing-ming KUANG, Yuan ZHOU, Ze-song FEI

Journal Article

Understanding and addressing the environmental risk of microplastics

Journal Article

Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Journal Article

Ecological Risk Management of Drinking Water Project: The Case Study of Kunming City

Ji-liang Zheng,Jun Hu,Xuan Zhou,Ching Yuen Luk

Journal Article

A novel period estimation method for X-ray pulsars based on frequency subdivision

Li-rong SHEN,Xiao-ping LI,Hai-feng SUN,Hai-yan FANG,Meng-fan XUE

Journal Article