检索结果-南通市图书馆

Machine learning based fault detection and state of health estimation of proton exchange membrane fuel cells

能源与人工智能(英文) 2023年第2期12卷 178-186页

作者： vijay mohan nagulapati SShiva Kumar Vimalesh Annadurai Hankwon Lim School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea Carbon Neutrality Demonstration and Research Center Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea Department of Mechatronics Rajalakshmi Engineering CollegeChennaiTamilnaduIndia Graduate School of Carbon Neutrality Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea

In fuel cells, chemical energy is directly converted into heat and electricity without any emissions which makes them an attractive substitute for various energy needs. Fuel cells have high energy conversion ratio and highpower densities which make them suitable for automotive applications. However, these fuel cell systems suffer with low reliability and durability as system components develop faults during operation resulting in degradation and diminished system performance. In this context, fault detection and fault mitigation strategies are being extensively developed. Diagnostic approaches like electrochemical impedance spectroscopy, cyclic voltammetry, and galvanostatic analysis offer a truthful representation of the State of Health (SOH) of the fuel cell. However, these approaches are intrusive and require pausing the operation of the fuel cell effecting its integrity. Machine learning based fault detection and SOH estimation is a non-intrusive approach where a mapping function is established between the indicators and SOH. The SOH of a fuel cell can be correlated to the patterns in sensor signals or indicators. Indicators that influence SOH are cell voltages, current density distribution, impedance spectra, acoustic emission and magnetic fields. Developing an accurate fault detection and state estimation technique through data driven machine learning approaches will allow corrective measures to avoid irreversible faults and improve the reliability and durability of fuel cells.

关键词： PEM fuel cell Data driven prognostics Fault detection Dynamic load test Gaussian process regression Support vector machine Artificial neural networks

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

A novel combined multi-battery dataset based approach for enhanced prediction accuracy of data driven prognostic models in capacity estimation of lithium ion batteries

引用

能源与人工智能(英文) 2021年第3期5卷 141-149页

作者： vijay mohan nagulapati Hyunjun Lee DaWoon Jung SalaiSargunan S Paramanantham Boris Brigljevic Yunseok Choi Hankwon Lim School of Energy and Chemical Engineering UNISTUlsanRepublic of Korea Xynergypower Corp Gyeonggi-doRepublic of Korea Department of Energy Engineering UNISTUlsanRepublic of Korea

To ensure smooth and reliable operations of battery systems,reliable prognosis with accurate prediction of State of Health of lithium ion batteries is of utmost ***,battery degradation is a complex challenge involving many electrochemical reactions at anode,separator,cathode and electrolyte/electrode ***,there is significant effect of the operating conditions on the battery *** machine learning tech-niques have been applied to estimate the capacity and State of Health of lithium ion batteries to ensure reliable operation and timely *** this paper,we study the Gaussian Process Regression(GPR)and Support Vector Machine(SVM)model-based approaches in estimating the capacity and State of Health of ***-tery capacity and State of Health estimations are carried out using GPR and SVM models and the predictions comparatively studied for accuracy based on RMSE *** prediction accuracy is further compared with re-spect to single sensor and multi sensor ***,a combined multi battery data set model is used to improve the prediction *** the data of multiple batteries with similar operating conditions for training a model resulted in higher prediction accuracy.

关键词： Capacity estimation State of health Gaussian process regression Support vector machine Lithium ion battery

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

Automated market makers and decentralized exchanges:a DeFi primer

引用

Financial Innovation 2022年第1期8卷 553-600页

作者： vijay mohan RMIT Blockchain Innovation Hub RMIT University124 La Trobe StreetMelbourneVIC 3000Australia Lattice Analytics Pty Ltd MelbourneAustralia

Recent advancements in decentralized finance(DeFi)have resulted in a rapid increase in the use of Automated Market Makers(AMMs)for creating decentralized exchanges(DEXs).In this paper,we organize these developments by treating an AMM as a neoclassical black-box characterized by the conversion of inputs(tokens)to outputs(prices).The conversion is governed by the technology of the AMM summarized by an‘exchange function’.Various types of AMMs are examined,including:Constant Product Market Makers;Constant Mean Market Makers;Constant Sum Market Makers;Hybrid Function Market Makers;and,Dynamic Automated Market *** paper also looks at the impact of introducing concentrated liquidity in an ***,the framework presented here provides an intuitive geometric representation of how an AMM operates,and a clear delineation of the similarities and differences across the various types of AMMs.

关键词： Decentralized finance(DeFi) Automated market maker(AMM) Decentralized exchange(DEX) Smart contract Ethereum

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

Assessment of quadriceps muscle thickness using bedside ultrasonography by nurses and physicians in the intensive care unit:Intra- and inter-operator agreement

引用

World Journal of Critical Care Medicine 2019年第7期8卷 127-134页

作者： Rohit Kumar Tajamul Hussain Shah vijay Hadda Pawan Tiwari Saurabh Mittal Karan Madan Maroof Ahmad Khan Anant mohan Department of Pulmonary Critical Care and Sleep MedicineAll India Institute of Medical SciencesNew Delhi 110029India Department of Biostatistics All India Institute of Medical SciencesNew Delhi 110029India

BACKGROUND Data regarding the agreement among multiple operators for measurement of quadriceps muscle thickness by bedside ultrasonography(USG)are *** To statistically assess the agreement among 5 operators for measurement of quadriceps muscle thickness on bedside *** This was a cross-sectional observational *** 5 operators of varied experience(comprised of 1 critical care consultant,2 fellows,and 2 nurses)independently measured quadriceps muscle thickness in triplicate for 45 critically ill patients each,using ***-and interrater agreement rates among the 5 operators were assessed using intraclass correlation coefficient(ICC)and expressed with 95%confidence interval(CI).RESULTS The 5 operators produced a total of 135 readings and 675 observations for ICC calculations to determine the intraoperator and interoperator variations *** intraoperator agreement,the overall ICC(95%CI)was 0.998(0.997,0.999)for operator 1,0.998(0.997,0.999)for operator 2,0.997(0.995,0.999)for operator 3,0.999(0.998,0.999)for operator 4,and 0.998(0.997,0.999)for operator *** interoperator agreement,the overall ICC(95%CI)was 0.977(0.965,0.986;P<0.001)for reading 1,0.974(0.960,0.984;P<0.001)for reading 2,and 0.975(0.961,0.985;P<0.001)for reading *** USG measurement of quadriceps muscle thickness was not dependent on clinical experience,supporting training for nurses in it.

关键词： Agreement Intensive care unit Critical illness Muscle thickness Quadricepsmuscle Ultrasonography

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

Study and Mitigation of Subsynchronous Oscillations with SSC Based SSSC

引用

Journal of Power and Energy Engineering 2015年第9期3卷 33-43页

作者： mohan P. Thakre vijay S. Kale Koteswara Raju Dhenuvakonda Bhimrao S. Umre Anjali S. Junghare Department of Electrical Engineering Visvesvaraya National Institute of Technology Nagpur India

This paper proposes a powerful subsynchronous component based (SSC) controller to mitigate the subsynchronous resonance (SSR) with statics synchronous series compensator (SSSC). The mitigation of SSR is achieved by increasing the network damping at those frequencies which are close to the torsional frequency of the turbine-generator shaft. The increase of network damping is done by the extraction of subsynchronous component of voltage and current from the measured signal of the system. From the knowledge of subsynchronous components, a series voltage is injected by SSSC into the transmission line to make the subsynchronous current to zero which is the main cause of turbine oscillations. To analyze the effectiveness of the proposed control scheme, IEEE first benchmark model has taken. The results show the accuracy of the proposed control scheme to mitigate the Torque amplification of SSR.

关键词： Current Control SSC SSSC SSR Torsional Oscillation Voltage Source Converter

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

Advances in the Structural Composition of Biomass:Fundamental and Bioenergy Applications

引用

Journal of Renewable Materials 2021年第4期9卷 615-636页

作者： Neha Srivastava Akshay Shrivastav Rajeev Singh Mohammed Abohashrh K.R.Srivastava Safia Irfan Manish Srivastava P.K.Mishra Vijai Kumar Gupta vijay Kumar Thakur Department of Chemical Engineering and Technology Indian Institute of Technology(BHU)Varanasi221005India Department of Chemical Engineering Madan Mohan Malaviya University of TechnologyGorakhpur273010India Department of Environmental Studies Satyawati CollegeUniversity of DelhiDelhi110052India Department of Basic Medical Sciences College of Applied Medical SciencesKing Khalid UniversityAbhaSaudi Arabia Departentof Biotechnology Faculty of BiosciencesIntegral UniversityLucknow226026India Biorefining and Advanced Materials Research Center Scotland’s Rural College(SRUC)EdinburghEH93JGUK

Increased environmental pollution due to the organic wastes over the world is one of the most burning *** organic wastes lie under the category of biodegradable waste and can be effectively degraded from their complex compound into simple one by the action of microbes or other living ***,lignocellulosic biomass is a major part of the biodegradable waste and belongs to the group of renewable energy source,which can be very effective for bioenergy *** are made up of different compounds such as cellulose,hemicelluloses,lignin and *** from these components,based on the structural analysis biomass also consist of bioactive substances such as carotenoids,flavonoids,lignin and *** review explores a complete overview of the classification,component and the structure of the ***,it discusses how biomasses can play the key role of substrate in many sectors such as industrial bioenergy production including gaseous and liquid biofuels.

关键词： Biomass classification composition bioactive substance biofuels

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

Formulation,in-vitro Evaluation and Dissolution Enhancement of Griseofulvin by Solid Dispersion Method

引用

Journal of Pharmacy and Pharmacology 2022年第4期10卷 125-131页

作者： Gopal Pokhrel Bikash Dani Srijana Shrestha Rakshya Chaudhary Ramesh Dhami Barnabas Sunuwar Sharad Pudasaini vijay Yadav Lalit mohan Pant Rajan Ghimire Department of Pharmacy Karnali College of Health SciencesKathmanduNepal Department of Pharmacy HOPE International CollegeLalitpurNepal Deurali-Janta Pharmaceuticals Pvt.Ltd. KathmanduNepal

Introduction:Griseofulvin is an antifungal drug belonging to Biopharmaceutical Classification System(BCS class II)having low ***:To formulate,evaluate and enhance the dissolution of poorly water soluble drug Griseofulvin by using solid dispersion ***:Six formulations were prepared by solid dispersion method using Polyethylene Glycol(PEG 6000)125 mg,0 mg,62.5 mg,100 mg,25 mg,150 mg and superdisintegrants Crospovidone 0 mg,125 mg,62.5 mg,100 mg,25 mg,150 mg in all batches ***:Satisfactory results were obtained from evaluation of physical characteristics of Griseofulvin tablets including:carr’s compressibility index(17.5±0.19%to 11.76±0.67%),Hausner ratio(1.21±0.01 to 1.13±0.02)and post compression parameters including:thickness(5.16±0.02 mm to 4.57±0.19 mm),friability(0.024%to 0.322%),hardness(4±0.28 kg/cm^(2)to 5±0.57 kg/cm^(2)),disintegration time(14-870 seconds).Conclusions:F3 was best formulation among all formulated batches with in-vitro drug release 30.05%in 10 minutes,69.21%in 30 minutes and 97.11%in 45 *** indicated that formulation F3 batch with PEG 6000 of 62.5 mg and crospovidone 62.5 mg showed increased dissolution.

关键词： Griseofulvin formulation solid dispersion solubility evaluation

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

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

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

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：