检索结果-南通市图书馆

prognostics and health management of alkaline water electrolyzer: Techno-economic analysis considering replacement moment

引用

Energy and AI 2023年第3期13卷 160-168页

作者： Hyunjun Lee Jiwon Gu Boreum Lee Hyun-Seok Cho Hankwon Lim School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan 44919Republic of Korea Hydrogen Research Department Future Energy Research DivisionKorea Institute of Energy Research152 Gajeong-roYuseongDaejeonRepublic of Korea Graduate School of Carbon Neutrality Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan 44919Republic of Korea Carbon Neutrality Demonstration and Research Center Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan 44919Republic of Korea

Recently,considerable attention has been paid to the installation of renewable energy capacity to mitigate global CO_(2) emissions.H_(2) produced using water electrolysis and renewable energy is regarded as a clean energy carrier,generating electricity without CO_(2) emissions,called‘Green H 2’.In this paper,a prognostics and health man-agement model for an alkaline water electrolyzer was proposed to predict the load voltage on the electrolyzer to obtain the state of health *** prognostics and health management model was developed by training historical operating data via machine learning models,support vector machine and gaussian process regression,showing the root mean square error of 1.28×10^(−3) and 8.03×10^(−6).In addition,a techno-economic analysis was performed for a green H_(2) production system,composed of 1 MW of photovoltaic plant and 1 MW of alkaline water electrolyzer,to provide economic insights and feasibility of the system.A levelized cost of H_(2) of$6.89 kgH_(2)−1 was calculated and the potential to reach the levelized cost of H_(2) from steam methane reforming with carbon capture and storage was shown by considering the learning rate of the photovoltaic module and ***,the replacement of the alkaline water electrolyzer at around 10 years was preferred to increase the net present value from the green H_(2) production system when capital expenditure and replacement cost are low enough.

关键词： Green H_(2) Alkaline water electrolysis prognostics and health management Voltage degradation Techno-economic analysis Replacement

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Battery prognostics and health management for electric vehicles under industry 4.0

引用

Journal of Energy Chemistry 2023年第9期84卷 30-33页

作者： Jingyuan Zhao Andrew F.Burke Institute of Transportation Studies University of California DavisDavisCA 95616USA

Transportation electrification is essential for decarbonizing transport. Currently, lithium-ion batteries are the primary power source for electric vehicles (EVs). However, there is still a significant journey ahead before EVs can establish themselves as the dominant force in the global automotive market. Concerns such as range anxiety, battery aging, and safety issues remain significant challenges.

关键词： Lithium-ion battery prognostics and health management Machine learning Cloud Artificial intelligence Digital twins Lifelong learning

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

An ontological modelling of multi-attribute criticality analysis to guide prognostics and health management program development

引用

Autonomous Intelligent Systems 2022年第1期2卷 16-31页

作者： Adalberto Polenghi Irene Roda Marco Macchi Alessandro Pozzetti Department of management Economics and Industrial EngineeringPolitecnico di MilanoP.zza Leonardo da Vinci 3320133 MilanItaly

Digital technologies are becoming more pervasive and industrial companies are exploiting them to enhance the potentialities related to prognostics and health management(PHM).Indeed,PHM allows to evaluate the health state of the physical assets as well as to predict their future *** be effective in developing PHM programs,the most critical assets should be identified so to direct modelling *** techniques could be adopted to evaluate asset criticality;in industrial practice,criticality analysis is amongst the most *** the advancement of artificial intelligence for data analysis and predictions,the criticality analysis,which is built upon both quantitative and qualitative data,has not been improved *** is the goal of this work to propose an ontological formalisation of a multi-attribute criticality analysis in order to i)fix the semantics behind the terms involved in the analysis,ii)standardize and uniform the way criticality analysis is performed,and iii)take advantage of the reasoning capabilities to automatically evaluate asset criticality and associate a suitable maintenance *** developed ontology,called MOCA,is tested in a food company featuring a global *** application shows that MOCA can accomplish the prefixed goals;specifically,high priority assets towards which direct PHM programs are *** the long run,ontologies could serve as a unique knowledge base that integrate multiple data and information across facilities in a consistent *** such,they will enable advanced analytics to take place,allowing to move towards cognitive Cyber Physical Systems that enhance business performance for companies spread worldwide.

关键词： Criticality analysis Ontology Artificial intelligence prognostics and health management PHM Maintenance

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computational Reproducibility Within prognostics and health management

引用

Journal of Dynamics, Monitoring and Diagnostics 2023年第1期2卷 52-60页

作者： Tim von Hahn Chris K.Mechefske Department of Mechanical and Materials Engineering Queen’s UniversityKingstonCanada

Scientific research frequently involves the use of computational tools and *** thorough documentation,open-source code,and data–the creation of reproducible computational research(RCR)–helps others understand a researcher’s *** this study,we investigate the state of reproducible computational research,broadly,and from within the field of prognostics and health management(PHM).In a text mining survey of more than 300 articles,we show that fewer than 1%of PHM researchers make their code and data available to *** promote the RCR further,our work also highlights several personal benefits for those engaged in the ***,we introduce an open-source software tool,called PyPHM,to assist PHM researchers in accessing and preprocessing common industrial datasets.

关键词： computational reproducibility open-source prognostics and health management

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Virtual sample generation for model-based prognostics and health management of on-board high-speed train control system

引用

High-Speed Railway 2023年第3期1卷 153-161页

作者： Jiang Liu Baigen Cair Jinlan Wang Jian Wang School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Frontiers Science Center for Smart High-speed Railway System Bejing Jiaotong UniversityBeijing 100044China School of Computer and Information Technology Bejing Jiaotong UniversityBejing 100044China Guangzhou Railway Polytechnic Guangzhou 511300China

In view of class imbalance in data-driven modeling for prognostics and health management(PHM),existing classification methods may fail in generating effective fault prediction models for the on-board high-speed train control equipment.A virtual sample generation solution based on Generative Adversarial Network(GAN)is proposed to overcome this *** at augmenting the sample classes with the imbalanced data problem,the GAN-based virtual sample generation strategy is embedded into the establishment of fault prediction *** the PHM framework of the on-board train control system,the virtual sample generation principle and the detailed procedures are *** the enhanced class-balancing mechanism and the designed sample augmentation logic,the PHM scheme of the on-board train control equipment has powerful data condition adaptability and can effectively predict the fault probability and life cycle *** data from a specific type of on-board train control system is employed for the validation of the presented *** comparative results indicate that GAN-based sample augmentation is capable of achieving a desirable sample balancing level and enhancing the performance of correspondingly derived fault prediction models for the Condition-based Maintenance(CBM)operations.

关键词： High-speed railway prognostics and health management Train control Virtual sample Generative adversarial network

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Review on Lithium-ion Battery PHM from the Perspective of Key PHM Steps

引用

Chinese Journal of Mechanical Engineering 2024年第4期37卷 1-22页

作者： Jinzhen Kong Jie Liu Jingzhe Zhu Xi Zhang Kwok-Leung Tsui Zhike Peng Dong Wang School of Mechanical Engineering Hebei University of TechnologyTianjin 300401China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Grado Department of Industrial and Systems Engineering Virginia Polytechnic Institute and State UniversityBlacksburg 24061USA School of Mechanical Engineering Ningxia UniversityNingxia 750021China

prognostics and health management(PHM)has gotten considerable attention in the background of Industry *** PHM contributes to the reliable and safe operation of electric ***,relevant reviews are still continuously updated over *** this paper,we browsed extensive literature related to battery PHM from 2018to 2023 and summarized advances in battery PHM field,including battery testing and public datasets,fault diagnosis and prediction methods,health status estimation and health management *** last topic includes state of health estimation methods,remaining useful life prediction methods and predictive maintenance *** of these categories is introduced and discussed in *** on this survey,we accordingly discuss challenges left to battery PHM,and provide future research *** research systematically reviews recent research about battery PHM from the perspective of key PHM steps and provide some valuable prospects for researchers and practitioners.

关键词： Lithium-ion batteries prognostics and health management Remaining useful life State of health Predictive maintenance

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Boosting battery state of health estimation based on self-supervised learning

引用

Journal of Energy Chemistry 2023年第9期84卷 335-346页

作者： Yunhong Che Yusheng Zheng Xin Sui Remus Teodorescu Department of Energy Aalborg UniversityAalborg 9220Denmark

State of health(SoH) estimation plays a key role in smart battery health prognostic and ***,poor generalization,lack of labeled data,and unused measurements during aging are still major challenges to accurate SoH *** this end,this paper proposes a self-supervised learning framework to boost the performance of battery SoH *** from traditional data-driven methods which rely on a considerable training dataset obtained from numerous battery cells,the proposed method achieves accurate and robust estimations using limited labeled data.A filter-based data preprocessing technique,which enables the extraction of partial capacity-voltage curves under dynamic charging profiles,is applied at *** learning is then used to learn the aging characteristics from the unlabeled data through an *** learned network parameters are transferred to the downstream SoH estimation task and are fine-tuned with very few sparsely labeled data,which boosts the performance of the estimation *** proposed method has been validated under different battery chemistries,formats,operating conditions,and *** estimation accuracy can be guaranteed by using only three labeled data from the initial 20% life cycles,with overall errors less than 1.14% and error distribution of all testing scenarios maintaining less than 4%,and robustness increases with *** with other pure supervised machine learning methods demonstrate the superiority of the proposed *** simple and data-efficient estimation framework is promising in real-world applications under a variety of scenarios.

关键词： Lithium-ion battery State of health Battery aging Self-supervised learning prognostics and health management Data-driven estimation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Sensor Optimization Selection Model Based on Testability Constraint

引用

Chinese Journal of Aeronautics 2012年第2期25卷 262-268页

作者： YANG Shuming QIU Jing LIU Guanjun Laboratory of Science and Technology on Integrated Logistics Support College of Mechatronics Engineering and AutomationNational University of Defense TechnologyChangsha 410073China

Sensor selection and optimization is one of the important parts in design for testability. To address the problems that the traditional sensor optimization selection model does not take the requirements of prognostics and health management especially fault prognostics for testability into account and does not consider the impacts of sensor actual attributes on fault detectability, a novel sensor optimization selection model is proposed. Firstly, a universal architecture for sensor selection and optimization is provided. Secondly, a new testability index named fault predictable rate is defined to describe fault prognostics requirements for testability. Thirdly, a sensor selection and optimization model for prognostics and health management is constructed, which takes sensor cost as objective function and the defined testability indexes as constraint conditions. Due to NP-hard property of the model, a generic algorithm is designed to obtain the optimal solution. At last, a case study is presented to demonstrate the sensor selection approach for a stable tracking servo platform. The application results and comparison analysis show the proposed model and algorithm are effective and feasible. This approach can be used to select sensors for prognostics and health management of any system.

关键词： prognostics and health management design for testability fault predictable rate sensor selection and optimization generic algorithm

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A critique of reliability prediction techniques for avionics applications

引用

Chinese Journal of Aeronautics 2018年第1期31卷 10-20页

作者： Guru Prasad PANDIAN Diganta DAS Chuan LI Enrico ZIO Michael PECHT Center for Advanced Life Cycle Engineering University of MarylandCollege Park National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University Chaire System Science and the Energy Challenge-Fondation Electricite’de France Centrale Supelec Department of Energy Politecnico di Milano

Avionics （aeronautics and aerospace） industries must rely on components and systems of demonstrated high reliability. For this, handbook-based methods have been traditionally used to design for reliability, develop test plans, and define maintenance requirements and sustainment logistics, However, these methods have been criticized as flawed and leading to inaccurate and mis- leading results. In its recent report on enhancing defense system reliability, the U.S. National Academy of Sciences has recently discredited these methods, judging the Military Handbook （MIL- HDBK-217） and its progeny as invalid and inaccurate. This paper discusses the issues that arise with the use of handbook-based methods in commercial and military avionics applications. Alter- native approaches to reliability design （and its demonstration） are also discussed, including similarity analysis, testing, physics-of-failure, and data analytics for prognostics and systems health management.

关键词： Avionics reliability Handbook-based methods MIL-HDBK-217 Physics of failure prognostics and health management

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A novel testability model for health management of heading attitude system

引用

Chinese Journal of Aeronautics 2013年第1期26卷 201-208页

作者： Liu Guanjun Yang Shuming Qiu Jing Yang Peng Laboratory of Science and Technology on Integrated Logistics Support College of Mechatronics Engineering and Automation National University of Defense Technology

prognostics and health management （PHM） is very important to guarantee the reliability and safety of aerospace systems, and sensing and test are the precondition of PHM. Integrating design for testability into early design stage of system early design stage is deemed as a fundamental way to improve PHM performance, and testability model is the base of testability analysis and design. This paper discusses a hierarchical model-based approach to testability modeling and analysis for heading attitude system health management. Quantified directed graph, of which the nodes represent components and tests and the directed edges represent fault propagation paths, is used to describe fault-test dependency, and quantitative testability information is assigned to nodes and directed edges. The fault dependencies between nodes can be obtained by functional fault analysis methodology that captures the physical architecture and material flows such as energy, heat, data, and so on. By incorporating physics of failure models into component, the dynamic process of a failing or degrading component can be projected onto system behavior, i.e., system symptoms. Then, the analysis of extended failure modes, mechanisms and effects is utilized to construct fault evolution-test dependency. Using this integrated model, the designers and system analysts can assess the test suite＇s fault detectability, fault isolability and fault predictability. And heading attitude system application results show that the proposed model can support testability analysis and design for PHM very well.

关键词： Fault evolution Functional fault analysis Physics of failure model prognostics and health management Quantified directed graph Testability analysis

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：