PROGNOSTICS

作品数：40被引量：171H指数：6
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相关领域：自动化与计算机技术更多>>
相关作者：郑平军张静王飞蔡巧言更多>>
相关机构：中国运载火箭技术研究院更多>>
相关期刊：《Computer Modeling in Engineering & Sciences》《Open Journal of Obstetrics and Gynecology》《Chinese Journal of Cancer Research》《航空制造技术》更多>>
相关基金：国家自然科学基金中国博士后科学基金国家教育部博士点基金安徽省自然科学基金更多>>
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Optimizing battery deployment: Aging trajectory prediction enabling homogenous performance grouping
《Journal of Energy Chemistry》2025年第1期565-577,共13页Shuquan Wang Feng Gao Zhan Ma Hao Tian Yusen Zhang 
National Natural Science Foundation of China (Grant No. 52225705)。
As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imagi...
关键词：Lithium-ion battery Battery prognostics Fusion model Convolutional neural network Transfer learning 
Remaining Useful Life Prediction of Rail Based on Improved Pulse Separable Convolution Enhanced Transformer Encoder
《Journal of Transportation Technologies》2024年第2期137-160,共24页Zhongmei Wang Min Li Jing He Jianhua Liu Lin Jia 
In order to prevent possible casualties and economic loss, it is critical to accurate prediction of the Remaining Useful Life (RUL) in rail prognostics health management. However, the traditional neural networks is di...
关键词：Equipment Health Prognostics Remaining Useful Life Prediction Pulse Separable Convolution Attention Mechanism Transformer Encoder 
Specialized deep neural networks for battery health prognostics:Opportunities and challenges
《Journal of Energy Chemistry》2023年第12期416-438,I0011,共24页Jingyuan Zhao Xuebing Han Minggao Ouyang Andrew F.Burke 
Lithium-ion batteries are key drivers of the renewable energy revolution,bolstered by progress in battery design,modelling,and management.Yet,achieving high-performance battery health prognostics is a significant chal...
关键词：Lithium-ion batteries State of health LIFETIME Deep learning Transformer Transfer learning Physics-informed learning Generative adversarial networks Reinforcement learning Open data 
Percutaneous microwave ablation and transcatheter arterial chemoembolization for serum tumor markers and prognostics of middle-late primary hepatic carcinoma被引量：1
《World Journal of Gastrointestinal Surgery》2023年第12期2783-2791,共9页Zhi-Peng Lin Da-Bei Huang Xu-Gong Zou Yuan Chen Xiao-Qun Li Jian Zhang 
BACKGROUND Primary hepatic carcinoma(PHC)has an insidious onset and is usually diagnosed in the middle and late stages.Although transcatheter arterial chemoembolization(TACE)is the preferred option for treating middle...
关键词：Middle-late primary hepatic carcinoma Percutaneous microwave coagulation therapy Transcatheter arterial chemoembolization Effect Tumor markers Prognosis SURVIVAL 
Prognostics for Lithium-ion batteries for electric Vertical Take-off andLanding aircraft using data-driven machine learning被引量：1
《Energy and AI》2023年第2期145-162,共18页Mihaela Mitici Birgitte Hennink Marilena Pavel Jianning Dong 
The health management of batteries is a key enabler for the adoption of Electric Vertical Take-off and Landingvehicles (eVTOLs). Currently, few studies consider the health management of eVTOL batteries. One distinctch...
关键词：Electric Vertical Take-off and Landing vehicles Lithium-ion battery STATE-OF-HEALTH Machine learning Remaining-useful-life 
Machine learning based fault detection and state of health estimation of proton exchange membrane fuel cells被引量：4
《Energy and AI》2023年第2期178-186,共9页Vijay Mohan Nagulapati SShiva Kumar Vimalesh Annadurai Hankwon Lim 
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...
关键词：PEM fuel cell Data driven prognostics Fault detection Dynamic load test Gaussian process regression Support vector machine Artificial neural networks 
An Edge-Fog-Cloud Computing-Based Digital Twin Model for Prognostics Health Management of Process Manufacturing Systems被引量：2
《Computer Modeling in Engineering & Sciences》2023年第4期599-618,共20页Jie Ren Chuqiao Xu Junliang Wang Jie Zhang Xinhua Mao Wei Shen 
supported by the Fundamental Research Funds for The Central Universities(Grant No.2232021A-08);National Natural Science Foundation of China(GrantNo.51905091);Shanghai Sailing Program(Grand No.19YF1401500).
The prognostics health management(PHM)fromthe systematic viewis critical to the healthy continuous operation of processmanufacturing systems(PMS),with different kinds of dynamic interference events.This paper proposes...
关键词：Process manufacturing system prognostics health management digital twin chemical fiber big data-driven 
Prognostics and Remaining Useful Life Prediction of Machinery:Advances,Opportunities,and Challenges被引量：1
《Journal of Dynamics, Monitoring and Diagnostics》2023年第1期1-12,共12页JDMD Editorial Office Nagi Gebraeel Yaguo Lei Naipeng Li Xiaosheng Si Enrico Zio 
The work in Section III was supported by the National Science Foundation of China(NSFC)(Nos.52025056,52005387);the work in Section IV was supported by the National Science Foundation of China(NSFC)(Nos.62233017,62073336).
As the fundamental and key technique to ensure the safe and reliable operation of vital systems,prognostics with an emphasis on the remaining useful life(RUL)prediction has attracted great attention in the last decade...
关键词：PROGNOSTICS remaining useful life DATA-DRIVEN machine learning degradation modeling 
Keynote Summaries of the First International Symposium on Dynamics,Monitoring,and Diagnostics
《Journal of Dynamics, Monitoring and Diagnostics》2022年第4期189-199,共11页JDMD Editorial Office Jérôme Antoni P.Stephan Heyns Jing Lin Huajiang Ouyang Stephan Schmidt Wade A.Smith Daniel N.Wilke 
supported in part by the Australian Government through the Australian Research Council Discovery Project DP160103501.
The first International Symposium on Dynamics,Monitoring,and Diagnostics was held in Chongqing,China,in April 2022.The Symposium,which was attended both virtually and in person,had an audience of 2000 and was aimed at...
关键词：Eigen-structure assignment gear wear gear diagnostics information theory intelligent diagnosis machinery maintenance passive vibration control PROGNOSTICS structural modification 
Prognostics based on the generalized diffusion process with parameters updated by a sequential Bayesian method
《Science China(Information Sciences)》2022年第6期168-184,共17页Hong PEI Xiaosheng SI Changhua HU Jianxun ZHANG Dangbo DU Zhenan PANG Shengfei ZHANG 
supported by National Natural Science Foundation of China(Grant Nos.61833016,61922089,61773386,61573365,61573366,61903376,61773389,61673311);Shaanxi National Science Foundation(Grant Nos.2020JQ-489,2020JM-360,2020JQ-298);National Key R&D Program of China(Grant No.2018YFB1306100)。
The realistic degradation process for the engineering equipment is generally stochastic and complicated owing to the uncertain operational condition and multiple functional loading,exhibiting the absolute nonlinear di...
关键词：generalized diffusion process stochastic model parameters remaining useful life maximum likelihood estimation sequential Bayesian methods 
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