Search Results

Exploring knowledge exchange: A useful framework for practice and policy,
Vicky Ward, Simon Smith, Allan House and Susan Hamer, in Social Science & Medicine (2012)
Keywords: Knowledge exchange; Knowledge brokering; Implementation; Evidence-based policy; UK; Mental health;

Prediction model optimization of gas turbine remaining useful life based on transfer learning and simultaneous distillation pruning algorithm,
Yu Zheng, Liang Chen, Xiangyu Bao, Fei Zhao, Jingshu Zhong and Chenhan Wang, in Reliability Engineering and System Safety (2025)
Keywords: Gas turbine; Remaining useful life prediction; Transfer learning; Model pruning; Knowledge distillation;

Entrepreneurship, knowledge, and the industrial revolution,
M. Aykut Attar, from Kiel Institute for the World Economy (IfW Kiel) (2014)
Keywords: unified growth theory, useful knowledge, industrial enlightenment, demographic transition, endogenous technological change

Entrepreneurship, knowledge, and the industrial revolution,
M. Aykut Attar, in Economics - The Open-Access, Open-Assessment E-Journal (2007-2020) (2015)
Keywords: Unified growth theory, useful knowledge, industrial enlightenment, demographic transition, endogenous technological change

Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines,
Wentao Mao, Wen Zhang, Ke Feng, Michael Beer and Chunsheng Yang, in Reliability Engineering and System Safety (2024)
Keywords: Remaining useful life prediction; Transfer learning; Transferability analytics; LSTM; Tensor decomposition;

Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions,
Yuan Li, Jingwei Li, Huanjie Wang, Chengbao Liu and Jie Tan, in Reliability Engineering and System Safety (2024)
Keywords: Remaining useful life; Ensemble learning; Attention mechanism; Convolutional neural network; Transfer learning;

Remaining Useful Life Prediction of Wind Turbine Gearbox Bearings with Limited Samples Based on Prior Knowledge and PI-LSTM,
Zheng Wang, Peng Gao and Xuening Chu, in Sustainability (2022)
Keywords: wind turbine gearbox bearing; remaining useful life prediction; data augmentation; long short-term memory; Wiener process

Energy, knowledge, and demo-economic development in the long run: a unified growth model,
Emmanuel Bovari and Victor Court, from HAL (2019)
Keywords: Unified growth theory,Directed technical change,Useful knowledge,Energy transition,Demographic transition

Energy, knowledge, and demo-economic development in the long run: a unified growth model,
Emmanuel Bovari and Victor Court, from HAL (2019)
Keywords: Unified growth theory,Directed technical change,Useful knowledge,Energy transition,Demographic transition

Challenges in marketing Socially Useful foods to the poor,
Bernard Garrette, from HAL (2011)
Keywords: Marketing,Socially Useful foods,poor

Challenges in Marketing Socially Useful Goods to the Poor,
Bernard Garrette and Aneel Karnani, from HAL (2010)
Keywords: Marketing Socially Useful Goods,Poor

Incorporating prior knowledge into self-supervised representation learning for long PHM signal,
Yilin Wang, Yuanxiang Li, Yuxuan Zhang, Jia Lei, Yifei Yu, Tongtong Zhang, Yongshen Yang and Honghua Zhao, in Reliability Engineering and System Safety (2024)
Keywords: Prognostics and health management; Self-supervised learning; Data knowledge fusion; Representation learning; Remaining useful life prediction; Fault diagnosis;

Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models,
Yuanfu Li, Yao Chen, Zhenchao Hu and Huisheng Zhang, in Reliability Engineering and System Safety (2023)
Keywords: Knowledge; Deep learning; CNN; LSTM; RUL prediction;

Engaging with Industry: Collaborative Action Research as a Useful Tool in Facility Management, Knowledge and Learning,
Michael Mahoney, from ToKnowPress (2014)
Keywords: facility management, knowledge and learning, action research

A novel dual attention mechanism combined with knowledge for remaining useful life prediction based on gated recurrent units,
Yuanfu Li, Yifan Chen, Haonan Shao and Huisheng Zhang, in Reliability Engineering and System Safety (2023)
Keywords: Aero-engine; Deep learning; Attention mechanism; Knowledge; GRU; RUL;

The economic growth enigma: Capital, labour and useful energy?,
Robert Ayres and Vlasios Voudouris, in Energy Policy (2014)
Keywords: Economic growth; Useful energy; Generalised production function;

Knowledge management as a prism to better distinguish useful forms derived from or inspired by games or play activities,
Stéphane Goria, from HAL (2024)
Keywords: Knowledge management,serious game,game with a purpose,serious play,agile game,wargame,serious playing,serious gaming,wargaming,gameful design,playful design,disengamement,gamification,Ludification,knowledge creation,knowledge elicitation,knowledge share,knowlede mapping,knowledge acquisition,knowledge capitalization,innovation game,ludicfication,création de connaissances,élicitation de connaissances,partage de connaissances,cartographie de connaissances,acquisition de connaissances,capitalisation de connaissances,gestion des connaissances,jeu sérieux,jeux utilitaire,jeu à but,jeu agile,design ludique

The impact of software capability maturity model on knowledge management and organisational learning: empirical findings and useful insights,
Emilio Bellini and Corrado lo Storto, in International Journal of Information Systems and Change Management (2006)
Keywords: software process improvement; capability maturity model; CMM; knowledge management; organisational learning; software development; process modelling; Italy.

Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis,
Xiaomo Liu, G. Alan Wang, Weiguo Fan and Zhongju Zhang, in Information Systems Research (2020)
Keywords: online knowledge community; information usefulness; argument quality; source credibility; text mining; theory-driven design science

A Best Practice Model for Useful Suggestions Management,
Prodan Igor and Ahlin Branka, in Organizacija (2008)
Keywords: Useful Suggestions Management, Implementation, Case Studies, Research and Development, Useful Suggestions Management, Implementation, Case Studies, Research and Development

A useful formulas to describe the performance of a steam condenser in off-design conditions,
Rafał Laskowski, Adam Smyk, Artur Rusowicz and Andrzej Grzebielec, in Energy (2020)
Keywords: Steam condenser; Off-design conditions; Useful formulas;

A Note on a Useful Distinction: Rules, and what Makes Rules Work?,
Sébastien Galanti, from HAL (2008)
Keywords: Note,Useful,Distinction,Rules,Makes,Work

Insights on Energy Transitions in Mexico from the Analysis of Useful Exergy 1971–2009,
Zeus Guevara, Tânia Sousa and Tiago Domingos, in Energies (2016)
Keywords: energy transitions; useful exergy; energy decoupling

Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions,
Guangheng Qi, Ning Ma and Kai Wang, in Energies (2024)
Keywords: supercapacitors; remaining useful life; prediction; VMD; BiLSTM

Remaining useful life, technical health, and life extension,
P Vaidya and M Rausand, in Journal of Risk and Reliability (2011)
Keywords: technical health; prognostics; remaining useful life; life extension

Useful energy balance for the UK: An uncertainty analysis,
Leonardo Paoli, Richard C. Lupton and Jonathan M. Cullen, in Applied Energy (2018)
Keywords: Useful energy; Uncertainty analysis; Energy efficiency; Bayesian; Energy statistics;

Remaining-Useful-Life Prediction for Li-Ion Batteries,
Yeong-Hwa Chang, Yu-Chen Hsieh, Yu-Hsiang Chai and Hung-Wei Lin, in Energies (2023)
Keywords: lithium-ion battery; predictive maintenance; remaining useful life

Useful or Less Serious Literature? A Critical Appraisal of the Role of Ngano (Folktales) Among the Shona of Zimbabwe,
Enna Sukutai Gudhlanga and Godwin Makaudze, in International Journal of Asian Social Science (2012)
Keywords: Useful literature, Shona culture, Folktales, Afrocentric, Zimbabwe

Decomposition of useful work intensity: The EU (European Union)-15 countries from 1960 to 2009,
André Cabrera Serrenho, Tânia Sousa, Benjamin Warr, Robert U. Ayres and Tiago Domingos, in Energy (2014)
Keywords: Exergy; Useful work; Efficiency; Energy intensity; Decomposition;

Structure and dynamics of useful work along the agriculture-industry-services transition: Portugal from 1856 to 2009,
André Cabrera Serrenho, Benjamin Warr, Tânia Sousa, Robert U. Ayres and Tiago Domingos, in Structural Change and Economic Dynamics (2016)
Keywords: Energy; Exergy; Useful work; Efficiency; Energy intensity;

Useful energy is a meaningful approach to building the decarbonization: A case of study of the Ecuadorian transport sector,
Gonzalo Chiriboga, Rommel Chamba, Andrés Garcia, Roberto Heredia-Fonseca, Carolina Montero- Calderón and Ghem Carvajal C, in Transport Policy (2023)
Keywords: Useful energy; Transport; Conversion efficiencies; Decarbonization; Ecuador;

What information do people use, trust, and find useful during a disaster? Evidence from five large wildfires,
Toddi Steelman, Sarah McCaffrey, Anne-Lise Velez and Jason Briefel, in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards (2015)
Keywords: Public information, Communication, Used, Useful, Trustworthy,

The Useful Application of Knowledge: An Introduction,
Cristiano Antonelli and Paul David, from University of Turin (2015)

The Useful Application of Knowledge: An Introduction,
Cristiano Antonelli and Paul David, from University of Turin (2015)

Maximum useful energy-rate analysis of an endoreversible Joule-Brayton cogeneration cycle,
Xiaoli Hao and Guoqiang Zhang, in Applied Energy (2007)
Keywords: Cogeneration cycle Total useful energy rate Optimization Finite time thermodynamics

Method for estimating capacity and predicting remaining useful life of lithium-ion battery,
Chao Hu, Gaurav Jain, Prabhakar Tamirisa and Tom Gorka, in Applied Energy (2014)
Keywords: Capacity; Health monitoring; Prognostics; Remaining useful life; Lithium-ion battery;

Prediction of Tool Remaining Useful Life Based on NHPP-WPHM,
Yingzhi Zhang, Guiming Guo, Fang Yang, Yubin Zheng and Fenli Zhai, in Mathematics (2023)
Keywords: tool; remaining useful life; vibration information; NHPP-WPHM

Remaining useful life prediction based on health index similarity,
Yingchao Liu, Xiaofeng Hu and Wenjuan Zhang, in Reliability Engineering and System Safety (2019)
Keywords: Remaining useful life; Health index similarity; Prognostics; Cutting tool;

Remaining useful lifetime prediction via deep domain adaptation,
Paulo Roberto de Oliveira da Costa, Akçay, Alp, Yingqian Zhang and Uzay Kaymak, in Reliability Engineering and System Safety (2020)
Keywords: Remaining useful lifetime; Deep learning; Transfer learning; Domain adaptation;

Remaining useful life prediction based on intentional noise injection and feature reconstruction,
Lei Xiao, Junxuan Tang, Xinghui Zhang, Eric Bechhoefer and Siyi Ding, in Reliability Engineering and System Safety (2021)
Keywords: Remaining useful life; Feature reconstruction; Noise injection; Aero-engines;

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction,
Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, Cees Taal and Olga Fink, in Reliability Engineering and System Safety (2024)
Keywords: Remaining Useful Lifetime; Deep learning; Domain adaptation; Prognostics;

Estimating the Useful Life of the Sempor Reservoir Using Erosion Modelling,
Budiman Satrio and Suprayogi Slamet, in Quaestiones Geographicae (2024)
Keywords: bathymetric survey, erosion potential, reservoir, sedimentation rate, useful life

Useful Exergy as an Intermediate Input in a Two-Sector Model of the United States Economy,
João Gonçalves, João Santos, Matthew Heun, Paul E. Brockway and Tiago Domingos, in Energies (2024)
Keywords: multisector economy; useful exergy; national accounts; economic growth

Remaining Useful Life Prediction of MOSFETs via the Takagi–Sugeno Framework,
Marcin Witczak, Marcin Mrugalski and Bogdan Lipiec, in Energies (2021)
Keywords: remaining useful life; soft computing; Takagi–Sugeno; degradation modeling; prediction

Prognosis of the Remaining Useful Life of Bearings in a Wind Turbine Gearbox,
Wei Teng, Xiaolong Zhang, Yibing Liu, Andrew Kusiak and Zhiyong Ma, in Energies (2016)
Keywords: remaining useful life (RUL); prognostic; wind turbine; bearing in gearbox

Long-Term Water Management Model for Preserving Sustainable Useful Capacity of Reservoirs,
Bruno Molino, Annamaria De Vincenzo, Antonio Minó and Luigi Ambrosone, in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) (2023)
Keywords: Bathymetric data, Sedimentation, Long-term water management, Sustainable useful capacity

Statistical distributions comparison for remaining useful life prediction of components via ANN,
Mohammad Ali Farsi and S. Masood Hosseini, in International Journal of System Assurance Engineering and Management (2019)
Keywords: Remaining useful life, Distribution functions, Prediction, Bearing, Artificial neural network

Remaining useful life prediction for stochastic degrading devices incorporating quantization,
Jian-Xun Zhang, Jia-Ling Zhang, Zheng-Xin Zhang, Tian-Mei Li and Xiao-Sheng Si, in Reliability Engineering and System Safety (2024)
Keywords: Stochastic process; Wiener process; Remaining useful life; Incorporating quantization;

Improving the level of knowledge generation,
M. Song, van der H.. Bij and M.C.D.P. Weggeman, from Eindhoven Center for Innovation Studies (2001)
Keywords: knowledge

Commanding Nature by Obeying Her: A Review Essay on Joel Mokyr's A Culture of Growth,
Enrico Spolaore, from CESifo (2019)
Keywords: technological progress, innovation, useful knowledge, cultural change

Methodologies for system-level remaining useful life prediction,
Hamed Khorasgani, Gautam Biswas and Shankar Sankararaman, in Reliability Engineering and System Safety (2016)
Keywords: System-level prognostics; Remaining useful life (RUL); Estimation and prediction algorithms; Stochastic simulation; Particle filters; First order reliability method; Uncertainty effects;

DSGE models: still useful in policy analysis?,
Jesper Lindé, in Oxford Review of Economic Policy (2018)
Keywords: macroeconomic models, New Keynesian economics, financial crisis, core and satellite models, monetary and fiscal policy, criteria for useful policy models

Knowledge,
Michael Allingham, from Palgrave Macmillan (1999)
Keywords: Common Knowledge, Rational Choice, Strategic Choice, Prevailing State, Knowledge Function

Using LSTM neural network to predict remaining useful life of electrolytic capacitors in dynamic operating conditions,
Ameneh Forouzandeh Shahraki, Sameer Al-Dahidi, Ali Rahim Taleqani and Om Prakash Yadav, in Journal of Risk and Reliability (2023)
Keywords: Electrolytic capacitors; deep learning; remaining useful life; dynamic operating conditions

An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks,
Ji Wu, Chenbin Zhang and Zonghai Chen, in Applied Energy (2016)
Keywords: Remaining useful life; Charge process; Neural networks; Importance sampling;

A lead-acid battery's remaining useful life prediction by using electrochemical model in the Particle Filtering framework,
Chao Lyu, Qingzhi Lai, Tengfei Ge, Honghai Yu, Lixin Wang and Na Ma, in Energy (2017)
Keywords: Electrochemical modeling; Remaining useful life prediction; Particle Filter framework; Effectiveness;

Deep Learning-Based Remaining Useful Life Prediction Method with Transformer Module and Random Forest,
Lefa Zhao, Yafei Zhu and Tianyu Zhao, in Mathematics (2022)
Keywords: deep learning; remaining useful life prediction; transformer; random forest

Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model,
Wanmeng Ding, Jimeng Li, Weilin Mao, Zong Meng and Zhongjie Shen, in Reliability Engineering and System Safety (2023)
Keywords: Rolling bearings; Remaining useful life; Dilated causal convolutional DenseNet; FPT;

Adaptive deep learning-based remaining useful life prediction framework for systems with multiple failure patterns,
Jiawei Xiong, Jian Zhou, Yizhong Ma, Fengxia Zhang and Chenglong Lin, in Reliability Engineering and System Safety (2023)
Keywords: Remaining useful life; Failure mode recognition; Deep learning; Prediction model;

Decision process to manage useful life of multi-stacks fuel cell systems under service constraint,
Nathalie Herr, Jean-Marc Nicod, Christophe Varnier, Louise Jardin, Antonella Sorrentino, Daniel Hissel and Marie-Cécile Péra, in Renewable Energy (2017)
Keywords: Fuel cell; PHM; Decision making; Scheduling; Useful life; Optimization;

Near-extreme system condition and near-extreme remaining useful time for a group of products,
Hai-Kun Wang, Yan-Feng Li, Hong-Zhong Huang and Tongdan Jin, in Reliability Engineering and System Safety (2017)
Keywords: Near-extreme condition; Failure crowding; Particle filter; Remaining useful life;

A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models,
Wasim Ahmad, Sheraz Ali Khan, M M Manjurul Islam and Jong-Myon Kim, in Reliability Engineering and System Safety (2019)
Keywords: Prognosis; Regression analysis; Reliability; Preventive maintenance; Bearings; Remaining useful life;

A generalized remaining useful life prediction method for complex systems based on composite health indicator,
Pengfei Wen, Shuai Zhao, Shaowei Chen and Yong Li, in Reliability Engineering and System Safety (2021)
Keywords: Multiple sensors; Data fusion; Degradation modeling; Remaining useful life; Prognostics;

A nonlinear-drift-driven Wiener process model for remaining useful life estimation considering three sources of variability,
Wennian Yu, Wenbing Tu, Il Yong Kim and Chris Mechefske, in Reliability Engineering and System Safety (2021)
Keywords: Remaining useful life; Wiener process; Nonlinear degradation; Proportional parameter;

An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation,
Wennian Yu, Yimin Shao, Jin Xu and Chris Mechefske, in Reliability Engineering and System Safety (2022)
Keywords: Remaining useful life; Generalized Wiener process; Adaptive drift; Expectation maximization;

Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture,
Lu Liu, Xiao Song and Zhetao Zhou, in Reliability Engineering and System Safety (2022)
Keywords: Remaining useful life estimation; Double attention; Transformer network; Aircraft engine;

Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing,
Shaojiang Dong, Jiafeng Xiao, Xiaolin Hu, Nengwei Fang, Lanhui Liu and Jinbao Yao, in Reliability Engineering and System Safety (2023)
Keywords: Rolling bearings; Remaining useful life prediction; Feature distribution; Domain adaptive;

A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution,
Xiao-Sheng Si, Wenbin Wang, Mao-Yin Chen, Chang-Hua Hu and Dong-Hua Zhou, in European Journal of Operational Research (2013)
Keywords: Replacement; Remaining useful life; First passage time; Expectation maximization; Prognostics;

A feature disentanglement and unsupervised domain adaptation of remaining useful life prediction for sensor-equipped machines,
Jianhai Yan, Zhi-Sheng Ye, Shuguang He and Zhen He, in Reliability Engineering and System Safety (2024)
Keywords: Remaining useful life; Prognostics and health management; Domain adaptation; Feature disentanglement;

Remaining useful life prediction based on noisy condition monitoring signals using constrained Kalman filter,
Junbo Son, Shiyu Zhou, Chaitanya Sankavaram, Xinyu Du and Yilu Zhang, in Reliability Engineering and System Safety (2016)
Keywords: Remaining useful life; Condition monitoring signals; Constrained Kalman filter;

Supervised contrastive learning based dual-mixer model for Remaining Useful Life prediction,
En Fu, Yanyan Hu, Kaixiang Peng and Yuxin Chu, in Reliability Engineering and System Safety (2024)
Keywords: Remaining Useful Life; Contrastive learning; Deep learning; Multilayer perceptron;

A weighted time embedding transformer network for remaining useful life prediction of rolling bearing,
Mingyuan Zhang, Chen He, Chengxuan Huang and Jianhong Yang, in Reliability Engineering and System Safety (2024)
Keywords: Remaining useful life prediction; Deep learning; Transformer; Weighted time embedding;

Transformer-based novel framework for remaining useful life prediction of lubricant in operational rolling bearings,
Sunghyun Kim, Yun-Ho Seo and Junhong Park, in Reliability Engineering and System Safety (2024)
Keywords: Bearing; Lubrication failure; Remaining useful life; Deep learning; Transformer;

Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process,
Liangliang Zhuang, Ancha Xu, Yijun Wang and Yincai Tang, in European Journal of Operational Research (2024)
Keywords: Reliability; Adaptive replacement; Maintenance; Inverse Gaussian process; Remaining useful life;

Remaining Useful Life Prediction for Lithium-Ion Batteries Based on the Partial Voltage and Temperature,
Yanru Yang, Jie Wen, Jianyu Liang, Yuanhao Shi, Yukai Tian and Jiang Wang, in Sustainability (2023)
Keywords: lithium-ion battery; remaining useful life; state of health; voltage; temperature

Remaining Useful Life Prediction of Lithium-Ion Batteries by Using a Denoising Transformer-Based Neural Network,
Yunlong Han, Conghui Li, Linfeng Zheng, Gang Lei and Li Li, in Energies (2023)
Keywords: Li-ion battery; remaining useful life; transformer; residual learning

Design of an Improved Remaining Useful Life Prediction Model Based on Vibration Signals of Wind Turbine Rotating Components,
Thi-Tinh Le, Seok-Ju Lee, Minh-Chau Dinh and Minwon Park, in Energies (2023)
Keywords: health index; remaining useful life; lSTM; degradation model; similarity model

Predicting the Remaining Useful Life of Lithium-Ion Batteries Using 10 Random Data Points and a Flexible Parallel Neural Network,
Lidang Jiang, Qingsong Huang and Ge He, in Energies (2024)
Keywords: neural networks; lithium batteries; remaining useful life; machine learning

Remaining Useful Life Estimation of Lithium-Ion Batteries Based on Small Sample Models,
Lu Liu, Wei Sun, Chuanxu Yue, Yunhai Zhu and Weihuan Xia, in Energies (2024)
Keywords: lithium-ion battery; remaining useful life; CEEMDAN; PSO; BiGRU

Prediction of the Remaining Useful Life of Supercapacitors at Different Temperatures Based on Improved Long Short-Term Memory,
Ning Ma, Huaixian Yin and Kai Wang, in Energies (2023)
Keywords: supercapacitors; remaining useful life; prediction; Harris hawks optimization algorithm

Useful Exergy Is Key in Obtaining Plausible Aggregate Production Functions and Recognizing the Role of Energy in Economic Growth: Portugal 1960–2009,
João Santos, Tiago Domingos, Tânia Sousa and Miguel Aubyn, in Ecological Economics (2018)
Keywords: Useful exergy; Aggregate production function; Cointegration; Granger causality; Cost shares;

A novel feature-fusion-based end-to-end approach for remaining useful life prediction,
Qiwu Zhu, Qingyu Xiong, Zhengyi Yang and Yang Yu, in Journal of Intelligent Manufacturing (2023)
Keywords: Feature fusion, Attention mechanism, End-to-end, Remaining useful life

An attention-based multi-scale temporal convolutional network for remaining useful life prediction,
Zhiqiang Xu, Yujie Zhang and Qiang Miao, in Reliability Engineering and System Safety (2024)
Keywords: Remaining useful life; Attention mechanism; Multi-scale temporal convolutional networks;

A novel two-stage method via adversarial strategy for remaining useful life prediction of bearings under variable conditions,
Yang Liu, Guangda Zhou, Shujian Zhao, Liang Li, Wenhua Xie, Bengan Su, Yongwei Li and Zhen Zhao, in Reliability Engineering and System Safety (2025)
Keywords: Remaining useful life prediction; Generative adversarial networks; Unsupervision; Transfer learning;

Sparse graph structure fusion convolutional network for machinery remaining useful life prediction,
Lingli Cui, Qiang Shen, Yongchang Xiao, Dongdong Liu and Huaqing Wang, in Reliability Engineering and System Safety (2025)
Keywords: Sparse graph structure; Remaining useful life; Rotating machinery; Graph network;

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Wiener Processes with Considering the Relaxation Effect,
Xiaodong Xu, Chuanqiang Yu, Shengjin Tang, Xiaoyan Sun, Xiaosheng Si and Lifeng Wu, in Energies (2019)
Keywords: lithium-ion battery; relaxation; remaining useful life; regenerated useful time; Wiener processes; Bayesian framework; maximum likelihood estimation

Knowledge Management in Knowledge Society,
Ivan Strugar and Davor Fakleš, from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb (2016)
Keywords: knowledge, knowledge economy, collaboration

Frequency domain reflectometry for remaining useful life estimation of instrumentation and control cables,
Brent D Shumaker, Dan E McCarter, Hashem M Hashemian and Ryan D O’Hagan, in Journal of Risk and Reliability (2015)
Keywords: Nuclear power; cable aging management; polymer aging; frequency domain reflectometry; prognostics; remaining useful life

Remaining useful life prediction for non-stationary degradation processes with shocks,
Xiaojie Ke, Zhengguo Xu, Wenhai Wang and Youxian Sun, in Journal of Risk and Reliability (2017)
Keywords: Non-stationary degradation; remaining useful life prediction; shock model; Wiener process

Online remaining useful life prognostics using an integrated particle filter,
Yawei Hu, Shujie Liu, Huitian Lu and Hongchao Zhang, in Journal of Risk and Reliability (2018)
Keywords: Unscented Kalman filter; particle filter; sufficient statistic; milling cutters; remaining useful life