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| 1 | RBMDO Using Gaussian Mixture Model-Based Second-Order Mean-Value Saddlepoint Approximation显示文摘Actual engineering systems will be inevitably affected by uncertain factors.Thus,the Reliability-Based Multidisciplinary Design Optimization(RBMDO)has become a hotspot for recent research and application in complex engineering system design.The Second-Order/First-Order Mean-Value Saddlepoint Approximate(SOMVSA/-FOMVSA)are two popular reliability analysis strategies that are widely used in RBMDO.However,the SOMVSA method can only be used efficiently when the distribution of input variables is Gaussian distribution,which significantly limits its application.In this study,the Gaussian Mixture Model-based Second-Order Mean-Value Saddlepoint Approximation(GMM-SOMVSA)is introduced to tackle above problem.It is integrated with the Collaborative Optimization(CO)method to solve RBMDO problems.Furthermore,the formula and procedure of RBMDO using GMM-SOMVSA-Based CO(GMM-SOMVSA-CO)are proposed.Finally,an engineering example is given to show the application of the GMM-SOMVSA-CO method. | Debiao Meng Shiyuan Yang Tao Lin Jiapeng Wang Hengfei Yang Zhiyuan Lv | 2022 | Computer Modeling in Engineering & Sciences2022，，8： | 6 |
| 2 | Fault Analysis of Wind Power Rolling Bearing Based on EMD Feature Extraction显示文摘In a wind turbine,the rolling bearing is the critical component.However,it has a high failure rate.Therefore,the failure analysis and fault diagnosis of wind power rolling bearings are very important to ensure the high reliability and safety of wind power equipment.In this study,the failure form and the corresponding reason for the failure are discussed firstly.Then,the natural frequency and the characteristic frequency are analyzed.The Empirical Mode Decomposition(EMD)algorithm is used to extract the characteristics of the vibration signal of the rolling bearing.Moreover,the eigenmode function is obtained and then filtered by the kurtosis criterion.Consequently,the relationship between the actual fault frequency spectrum and the theoretical fault frequency can be obtained.Then the fault analysis is performed.To enhance the accuracy of fault diagnosis,based on the previous feature extraction and the time-frequency domain feature extraction of the data after EMD decomposition processing,four different classifiers are added to diagnose and classify the fault status of rolling bearings and compare them with four different classifiers. | Debiao Meng Hongtao Wang Shiyuan Yang Zhiyuan Lv Zhengguo Hu Zihao Wang | 2022 | Computer Modeling in Engineering & Sciences2022，，1： | 4 |
| 3 | OPTIMIZATION OF TRANSIENT FEEDING TO PARALLEL-PLATE TRANSMISSION LINES FROM COAXIAL LINE显示文摘The transient feeding to parallel-plate transmission lines from coaxial line is optimized by using the Finite-Difference Time-Domain (FDTD) method and a simple FDTD feed model. Observing the reflected voltages, this letter presents the optimal feeding position and ratio of width to height for a given input impedance of the coaxial line. | Tian Chunming Wang Jianguo Meng Fenxia Zhang Maoyu Ge Debiao(Department of Physics, Xidian University, Xi’an 710071) (Northwest Institute of Nuclear Technology, P. O. Box 69-15, Xi’an 710024) | 2001 | Journal of Electronics(China)2001，18，3： | 4 |
| 4 | Saddlepoint Approximation Method in Reliability Analysis:A Review显示文摘The escalating need for reliability analysis(RA)and reliability-based design optimization(RBDO)within engineering challenges has prompted the advancement of saddlepoint approximationmethods(SAM)tailored for such problems.This article offers a detailed overview of the general SAM and summarizes the method characteristics first.Subsequently,recent enhancements in the SAM theoretical framework are assessed.Notably,the mean value first-order saddlepoint approximation(MVFOSA)bears resemblance to the conceptual framework of the mean value second-order saddlepoint approximation(MVSOSA);the latter serves as an auxiliary approach to the former.Their distinction is rooted in the varying expansion orders of the performance function as implemented through the Taylor method.Both the saddlepoint approximation and third-moment(SATM)and saddlepoint approximation and fourth-moment(SAFM)strategies model the cumulant generating function(CGF)by leveraging the initial random moments of the function.Although their optimal application domains diverge,each method consistently ensures superior relative precision,enhanced efficiency,and sustained stability.Every method elucidated is exemplified through pertinent RA or RBDO scenarios.By juxtaposing them against alternative strategies,the efficacy of these methods becomes evident.The outcomes proffered are subsequently employed as a foundation for contemplating prospective theoretical and practical research endeavors concerning SAMs.The main purpose and value of this article is to review the SAM and reliability-related issues,which can provide some reference and inspiration for future research scholars in this field. | Debiao Meng Yipeng Guo Yihe Xu Shiyuan Yang Yongqiang Guo Lidong Pan Xinkai Guo | 2024 | Computer Modeling in Engineering & Sciences2024，139，6： | 0 |
| 5 | Editorial for special issue on “security and privacy protection in the era of IoT devices”显示文摘IoT devices like smartphones have become an important personal assistant and an indispensable part of our daily life and work.As more and more users storing their private data on their mobile phones,it becomes imperative to develop secure mobile operating systems,secure mobile clouds and applications,and secure mobile devices.In recent years,IoT device security,like smartphone security,depends not only on the phones,but also on the mobile device management technology that controls and manages device security.As a result,there is an increasing need for security solutions to protect users'sensitive and private information in the IoT environment.This special issue focuses on security and privacy issues on IoT devices and identifies new schemes and mechanisms for constructing a safe and robust IoT environment. | Weizhi Meng Daniel Xiapu Luo Chunhua Su Debiao He Marios Anagnostopoulos Qian Chen | 2021 | Digital Communications and Networks2021，7，2： | 0 |
| 6 | Uncertainty-based Multidisciplinary Design Optimization using An Approximated Second-Order Reliability Analysis Strategy显示文摘In uncertainty-based multidisciplinary design optimization(UBMDO),all reliability limitation factors are maintained due to minimize the cost target function.There are many reliability evaluation methods for reliability limitation factors.The second-order reliability method(SORM)is a powerful most possible point(MPP)-based method.It can provide an accurate estimation of the failure probability of a highly nonlinear limit state function despite its large curvature.But the Hessian calculation is necessary in SORM,which results in a heavy computational cost.Recently,an efficient approximated second-order reliability method(ASORM)is proposed.The ASORM uses a quasi-Newton method to close to Hessian without the direct calculation of Hessian.To further improve the UBMDO efficiency,we also introduce the performance measure approach(PMA)and the sequential optimization and reliability assessment(SORA)strategy.To solve the optimization design problem of a turbine blade,the formula of MDO with ASORM under the SORA framework(MDO-ASORM-SORA)is proposed. | Zhiyuan LYU Hongtao WANG Hengfei YANG Jiapeng WANG Ketema Mikiyas Solomon Debiao MENG | 2022 | Mechanical Engineering Science2022，4，1： | 0 |
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