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Computer Modeling in Engineering & Sciences 2024年第10期141卷 1-5页

作者： debiao meng Abílio Manuel Pinho de Jesus Zeng meng School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China INEGI Faculty of EngineeringUniversity of PortoPorto4200-465Portugal School of Civil Engineering Hefei University of TechnologyHefei230009China

1 Summary With the advancement of science and technology,complex engineering structures are widely used in extreme environments[1].In equipment service,many uncertainty factors significantly affect safety and reliability[2–5].Therefore,ensuring high reliability of structures has become an important research direction in engineering *** the same time,the importance of equipment health management of complex engineering structures is becoming increasingly prominent[6–8].Computer-aided uncertainty modeling and reliability assessment have become key tools,and finite element simulation and algorithmic innovation play a key role in the reliability analysis of complex equipment[9,10].These techniques can accurately simulate stress and damage accumulation under various operating environments,providing engineers with important decision support and optimization solutions.

关键词： extreme Reliability environments

Fault Analysis of Wind Power Rolling Bearing Based on EMD Feature Extraction

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Computer Modeling in Engineering & Sciences 2022年第1期130卷 543-558页

作者： debiao meng Hongtao Wang Shiyuan Yang Zhiyuan Lv Zhengguo Hu Zihao Wang School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China Institute of Electronic and Information Engineering of UESTC in Guangdong Dongguan523808China Yangzhou Yangjie Electronic Technology Co. Ltd.Yangzhou225008China

In a wind turbine,the rolling bearing is the critical ***,it has a high failure ***,the failure analysis and fault diagnosis of wind power rolling bearings are very important to ensure the high reliability and safety of wind power *** this study,the failure form and the corresponding reason for the failure are discussed ***,the natural frequency and the characteristic frequency are *** Empirical Mode Decomposition(EMD)algorithm is used to extract the characteristics of the vibration signal of the rolling ***,the eigenmode function is obtained and then filtered by the kurtosis ***,the relationship between the actual fault frequency spectrum and the theoretical fault frequency can be *** the fault analysis is *** 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.

关键词： Wind turbine rolling bearing fault diagnosis empirical mode decomposition

RBMDO Using Gaussian Mixture Model-Based Second-Order Mean-Value Saddlepoint Approximation

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Computer Modeling in Engineering & Sciences 2022年第8期132卷 553-568页

作者： debiao meng Shiyuan Yang Tao Lin Jiapeng Wang Hengfei Yang Zhiyuan Lv School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China Failure Mechanics&Engineering Disaster Prevention and Mitigation Key Laboratory of Sichuan ProvinceSichuan UniversityChengdu610065China Yangzhou Yangjie Electronic Technology Co. Ltd.Yangzhou225008China Sichuan Special Equipment Inspection and Research Institute Chengdu610100China Food Safety Inspection Technology Center of Administration for Market Regulation of Sichuan Province Chengdu610017China

Actual engineering systems will be inevitably affected by uncertain ***,the Reliability-Based Multidisciplinary Design Optimization(RBMDO)has become a hotspot for recent research and application in complex engineering system *** Second-Order/First-Order Mean-Value Saddlepoint Approximate(SOMVSA/-FOMVSA)are two popular reliability analysis strategies that are widely used in ***,the SOMVSA method can only be used efficiently when the distribution of input variables is Gaussian distribution,which significantly limits its *** this study,the Gaussian Mixture Model-based Second-Order Mean-Value Saddlepoint Approximation(GMM-SOMVSA)is introduced to tackle above *** is integrated with the Collaborative Optimization(CO)method to solve RBMDO ***,the formula and procedure of RBMDO using GMM-SOMVSA-Based CO(GMM-SOMVSA-CO)are ***,an engineering example is given to show the application of the GMM-SOMVSA-CO method.

关键词： Uncertain factors reliability-based multidisciplinary design optimization saddlepoint approximate gaussian mixture model collaborative optimization

Saddlepoint Approximation Method in Reliability Analysis:A Review

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2329-2359页

作者： debiao meng Yipeng Guo Yihe Xu Shiyuan Yang Yongqiang Guo Lidong Pan Xinkai Guo School ofMechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China Institute of Electronic and Information Engineering of UESTC in Guangdong Dongguan523808China Glasgow College University of Electronic Science and Technology of ChinaChengdu611731China Beijing Research Institute of Mechanical&Electrical Technology Ltd.Beijing100083China

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 *** article offers a detailed overview of the general SAM and summarizes the method characteristics ***,recent enhancements in the SAM theoretical framework are ***,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 *** distinction is rooted in the varying expansion orders of the performance function as implemented through the Taylor *** 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 *** their optimal application domains diverge,each method consistently ensures superior relative precision,enhanced efficiency,and sustained *** method elucidated is exemplified through pertinent RA or RBDO *** juxtaposing them against alternative strategies,the efficacy of these methods becomes *** outcomes proffered are subsequently employed as a foundation for contemplating prospective theoretical and practical research endeavors concerning *** 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.

关键词： Reliability analysis reliability-based design optimization saddlepoint approximation

Uncertainty-based Multidisciplinary Design Optimization using An Approximated Second-Order Reliability Analysis Strategy

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Mechanical Engineering Science 2022年第1期4卷 1-5页

作者： Zhiyuan LYU Hongtao WANG Hengfei YANG Jiapeng WANG Ketema Mikiyas Solomon debiao meng School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Institute of Electronic and Information Engineering of UESTC in Guangdong Dongguan 523808China Yangzhou Yangjie Electronic Technology Co. Ltd.Jiangsu Yangzhou 225008China

In uncertainty-based multidisciplinary design optimization(UBMDO),all reliability limitation factors are maintained due to minimize the cost target *** are many reliability evaluation methods for reliability limitation *** second-order reliability method(SORM)is a powerful most possible point(MPP)-based *** can provide an accurate estimation of the failure probability of a highly nonlinear limit state function despite its large *** the Hessian calculation is necessary in SORM,which results in a heavy computational ***,an efficient approximated second-order reliability method(ASORM)is *** ASORM uses a quasi-Newton method to close to Hessian without the direct calculation of *** further improve the UBMDO efficiency,we also introduce the performance measure approach(PMA)and the sequential optimization and reliability assessment(SORA)*** solve the optimization design problem of a turbine blade,the formula of MDO with ASORM under the SORA framework(MDO-ASORM-SORA)is proposed.

关键词： uncertainty reliability analysis optimization design turbine blade

一种多学科系统不确定性分析方法——协同不确定性分析法的改进

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机械工程学报 2011年第19期47卷 129-135页

作者：孟德彪黄洪钟许焕卫张小玲张旭东电子科技大学机械电子工程学院成都611731

多学科耦合环境中,不确定性分析对于整个工程系统的设计优化过程具有非常重要的影响。多学科系统不确定性分析方法中的协同不确定性分析法(Collaborative uncertainty analysis,CUA)对于系统输出方差的求解存在计算精度较低,计算效率不... 详细信息

多学科耦合环境中,不确定性分析对于整个工程系统的设计优化过程具有非常重要的影响。多学科系统不确定性分析方法中的协同不确定性分析法(Collaborative uncertainty analysis,CUA)对于系统输出方差的求解存在计算精度较低,计算效率不高的缺点。在分析导致上述缺点的原因的基础上,提出一种改进的协同不确定性分析法(Modified collaborative uncertainty analysis,MCUA)。该方法的基本思想是将原协同不确定性分析法中分布式并行的优化体系与以泰勒近似和灵敏度分析为基础对耦合变量和系统输出的方差进行估算的方法相结合,对系统输出的均值与方差进行估算,并经过二次优化获得系统的稳健最优设计方案。算例结果表明,采用改进的协同不确定性分析法计算得到的系统输出方差相比原方法具有更高的精度,是分析多学科系统中不确定性传播的有效方法。

关键词：多学科系统协同不确定性分析法泰勒近似灵敏度分析改进的协同不确定性分析法

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制粉系统热一次风道优化研究及工程应用

热力发电 2018年第12期47卷 122-127页

作者：张锋王岩孟德彪周业绩西安热工研究院有限公司陕西西安710054 淮浙煤电凤台发电分公司安徽淮南232131 山西瑞光发电有限责任公司山西晋中030600

某电厂出于机组增容及提高一次风机运行安全性的需要,对制粉系统热一次风道进行了优化。本文通过数值计算方法,利用Fluent软件研究和制定了空气预热器热一次风出口至磨煤机入口风道增容改造及优化方案。分析结果表明:从经济性角度考虑,... 详细信息

某电厂出于机组增容及提高一次风机运行安全性的需要,对制粉系统热一次风道进行了优化。本文通过数值计算方法,利用Fluent软件研究和制定了空气预热器热一次风出口至磨煤机入口风道增容改造及优化方案。分析结果表明:从经济性角度考虑,无论是否进行增容改造,热一次风道优化投资回收年限均较长,节能潜力不大;但从安全性角度考虑,在增容改造的同时进行热一次风道优化则十分必要;实际优化后热一次风管道的节能效果有限,但风机运行点更加远离失速区,风机运行安全性得到显著提高。

关键词：制粉系统热一次风道风道阻力风道优化数值计算节能风机失速

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基于小波分析的磨煤机劣化趋势分析

电力系统装备 2024年第9期 110-112页

作者：孟德彪刘川槐王宝淮浙电力有限责任公司凤台发电分公司安徽淮南232001

磨煤机劣化是指磨煤机在运行过程中,由于设备老化、磨损以及维护不当等原因造成设备性能逐渐下降的现象。磨煤机劣化会导致磨煤机磨煤效率降低、煤粉质量下降,对锅炉运行造成负面影响。因此,及时发现并处理磨煤机劣化问题尤为重要。文... 详细信息

磨煤机劣化是指磨煤机在运行过程中,由于设备老化、磨损以及维护不当等原因造成设备性能逐渐下降的现象。磨煤机劣化会导致磨煤机磨煤效率降低、煤粉质量下降,对锅炉运行造成负面影响。因此,及时发现并处理磨煤机劣化问题尤为重要。文章对磨煤机磨辊磨损机理进行了深入分析,并基于小波分析原理,构建了磨煤机劣化程度分析模型,能够准确反应磨煤机的劣化趋势,旨在为磨煤机维护与管理提供有力支持。

关键词：磨煤机劣化磨损机理小波分析低频重构

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大型火电机组制粉系统节能优化研究及应用

能源与节能 2018年第12期 78-80页

作者：孟德彪吴兆香王伟淮浙煤电凤台发电公司安徽凤台232131

淮浙煤电凤台发电厂近几年通过提高磨煤机出口温度、一次风压力控制逻辑优化、磨煤机密封系统改造优化等一系列手段对制粉系统进行了节能优化。对该电厂制粉系统的节能优化应用进行了探讨,运行结果表明,机组排烟温度下降约6℃,一次风机... 详细信息

淮浙煤电凤台发电厂近几年通过提高磨煤机出口温度、一次风压力控制逻辑优化、磨煤机密封系统改造优化等一系列手段对制粉系统进行了节能优化。对该电厂制粉系统的节能优化应用进行了探讨,运行结果表明,机组排烟温度下降约6℃,一次风机电流下降约23 A,密封风机电流下降约35 A,取得不错成效,可为同类型设备提供借鉴。

关键词：磨煤机优化节能出口温度风压

ArcPy在全民所有自然资源资产清查中的应用

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测绘与空间地理信息 2023年第3期46卷 94-96页

作者：郭文庆陈鹏洲孟德彪浙江省国土勘测规划有限公司浙江杭州310000 浙江省测绘科学技术研究院浙江杭州310000

基于第三次全国国土调查的成果,开展全民所有自然资源资产调查工作,对土地资源资产、水资源资产、森林资源资产、海洋资源资产及湿地资源资产进行详细清查。本文主要介绍了ArcPy和Python在处理空间信息数据方面的应用,通过该程序实现了... 详细信息

基于第三次全国国土调查的成果,开展全民所有自然资源资产调查工作,对土地资源资产、水资源资产、森林资源资产、海洋资源资产及湿地资源资产进行详细清查。本文主要介绍了ArcPy和Python在处理空间信息数据方面的应用,通过该程序实现了批量处理数据、批量合并相邻同源图斑的功能。对ArcGIS中自带批处理功能进行了完善,大大降低了错误率,实现了数据处理高效化。

关键词： ArcPy 自然资源资产清查空间信息数据处理