Useful Life Prediction

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4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Calibrating Prediction Timeliness Through Multi-Objective Hyperparameter Optimization for Remaining Useful Life Prediction
Oct 1, 2026Tugrul Cabir Hakyemez, Ener Uras GokhanUseful Life Prediction General Grid Search Framework
Department of Management Information Systems Istanbul Bilgi University Istanbul, Turkey · Beştepe Koleji Ankara, Turkey
AI-Driven Collaborative Assembly Line Inspection: System Integration and Deployment Challenges
Sep 27, 2026Asya Ünal, Amr Okasha, Ege Çırakman +1Human-Robot Collaboration Inspection
Department of Research and Development, TEKNOPAR, Ankara, Türkiye
Multi-Term Fourier Graph Neural Network with Sample Relationship Learning for Enhanced Remaining Useful Life Prediction
Sep 21, 2026Ya Song, Laurens Bliek, Yaoxin Wu +1Temporal Graph Neural Networks Useful Life Prediction
Information Systems, Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands
Joint Remaining Useful Life Prediction and Capacity Estimation of Lithium-Ion Batteries Using Partial-Charging Data
Sep 18, 2026Khoa Tran, Ho-Si-Hung Nguyen, Phone Wai Yan Moe +2Lithium-Ion Batteries Useful Life Prediction
Data Science Laboratory, Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 70000, Vietnam · Faculty of Electrical Engineering, The University of Danang - University of Science and Technology (DUT), 54 Nguyen Luong Bang Street, Lien Chieu District, Da Nang 550000, Vietnam · AIWARE Limited Company, 17 Huynh Man Dat Street, Hoa Cuong Ward, Hai Chau District, Da Nang 550000, Vietnam +2
A Multispectral Framework for the Detection of Calcium Carbide-Induced Ripening and Shelf-Life Estimation in Climacteric Fruits
Aug 13, 2026Gurbhit Chaurakoti, Harshit Kumar, Hani Kumar +2Fruit Hyperspectral Image
Department of Electrical Engineering, National Institute of Technology Delhi, New Delhi, 110036, India · Department of Computer Science and Engineering, National Institute of Technology Delhi, New Delhi, 110036, India · Division of Food Science and Post Harvest Technology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
Beyond Foundation Models: Dimension-Aware Neural Architecture Search with Small-Data Representation Models for Cryocooler Lifetime Prediction
Aug 7, 2026Gregor Molan, Grafika Jati, Francesco Barchi +3Time Series Foundation Models Representation Learning
Comtrade 360 d.o.o., Letališka cesta 29b, Ljubljana, 1000, Slovenia · Comtrade AI GmbH, Grafenauweg 8, Zug, 6300, Switzerland · Alma Mater Studiorum – Università di Bologna, Department of Electrical, Electronic, and Information Engineering (DEI), Viale del Risorgimento 2, Bologna, 40136, Italy +2
Predictive Maintenance: Deep Learning-Based Remaining Useful Life Prediction for Combat Aircraft Engines
Aug 3, 2026Fatih Ürgen, Doğay AltınelPredictive Maintenance Useful Life Prediction
Istanbul Technical University, Faculty of Science, Department of Physics Engineering, 34467 Istanbul, Türkiye · Istanbul Medeniyet University, Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineering, 34700 Istanbul, Türkiye
Predicting Steel Fatigue Life from Micrographs Using Physics-Informed Deep Learning
Jul 30, 2026Aryuemaan Kumar ChowdhuryShape-Memory Alloy Porous Media
Department of Lightweighting Engineering, Indian Institute of Technology Hyderabad, India · Research & Development, Oscowl AI, Hyderabad, India
The Half-Lives of Generative-AI Evidence: A 40-Record Audit, a Claim-Currency Framework, and a Reflexive Case of Frontier-Model-Assisted Research
Jul 27, 2026Carlo IaconoJournal Research Automation
Charles Sturt University, Australia
Generalization bounds and sample complexity for remaining useful life prediction from complete degradation trajectories
Jul 26, 2026Huy Hoang Le, Kim-Anh NguyenUseful Life Prediction Degradation
R&D Department, PowerMore Ltd., Da Nang 550000, Vietnam · Faculty of Electrical Engineering, University of Science and Technology, The University of Danang, Da Nang 550000, Vietnam
General Value Functions for Remaining Useful Life and Failure-Mode Prediction
Jul 24, 2026Hao Yan, Ali Sarabi, Qing Zou +1Useful Life Prediction Early Failure Prediction
School of Computing and Augmented Intelligence, Arizona State University
Multi-Agent System-driven Digital Twins for predictive maintenance: architectures, technologies and open research challenges
Jul 24, 2026Korota Arsène Coulibaly, Mohamed HamlichDigital Twins Industrial Automation
LCCPS Lab, ENSAM, Hassan II University of Casablanca, 150 Bd du Nil, Casablanca, 20670,, Morocco
Physics-Guided Masked Multi-Task Network for Edge-Friendly Battery Health Diagnostics from Sto-chastically Fragmented Charging Profiles
Jul 19, 2026Shuhao Chen, Tianyu Shi, Chengyi TuLithium-Ion Batteries Useful Life Prediction
School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Dynamic Loss Balancing for Joint SOH and RUL Prediction of Lithium-Ion Batteries via a Rotary SOH-Injected Prior Battery Transformer
Jul 19, 2026Shuhao Chen, Tianyu Shi, Yiwen Huang +1Lithium-Ion Batteries Useful Life Prediction
School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
SurvCF(t): Counterfactual Explanations for Survival Analysis in Predictive Maintenance Multivariate Time Series Data
Jul 18, 2026Zara Karazian, Panagiotis Papapetrou, Sindri Magnússon +2Counterfactual Explanation Survival Analysis
Department of Computer and Systems Sciences (DSV) Stockholm University Stockholm, Sweden · Department of Electrical Engineering (ISY) Linköping University Linköping, Sweden
Bridging battery design and health assessment through virtual sensing and physics-informed learning
Jul 18, 2026Wendi Guo, Søren Byg Vilsen, Daniel Ioan Stroe +4Lithium-Ion Batteries Useful Life Prediction
Department of Chemistry, Uppsala University, Sweden · Department of Materials and Production, Aalborg University, Denmark · Department of Energy, Aalborg University, Denmark +2
Leakage-Robust Evaluation and Data-Scale Sensitivity of Attention-Enhanced Multi-Task Learning for Joint Fault Diagnosis and Remaining Useful Life Estimation
Jul 17, 2026Md Mahamudur Rahaman Shamim, Md. Nuruzzaman, Zannatul Ferdus +5Predictive Maintenance Multi--Task Learning
Department of Manufacturing Engineering Technology, Western Illinois University, Macomb, IL-61455, USA · Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, 141-142 Love Road, Tejgaon Industrial Area, Dhaka, Bangladesh · Master of Science in Industrial/Engineering Management, Trine University, 720 Thunder Dr, Angola, IN 46703, USA +3
Linguistic Distancing on Social Media: Indicators of Emotion Regulation Across Age Groups
Jun 29, 2026Daniela Teodorescu, Saif M. Mohammad, Alona FysheEmotional Regulation Age
Department of Computing Science, University of Alberta · National Research Council Canada · Department of Psychology, University of Alberta
Quantum Annealing Enhanced Reinforcement Learning for Accurate Remaining Useful Lifetime Prediction
Jun 16, 2026Manoranjan Gandhudi, Arunkumar V., G. R. Anil +1Quantum Annealing Useful Life Prediction
Central University of Karnataka, Kalaburagi, India · University College of Engineering, Anna University, Tiruchirappalli, Tamil Nadu, India · AIONOS India Pvt Ltd, Hyderabad, India +1
Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation
Jun 10, 2026Amir El-Ghoussani, Michele De Vita, Ronald Naumann +1Time Series Foundation Models Predictive Maintenance
Friedrich-Alexander-Universität Erlangen–Nürnberg (FAU), Germany · Nokia Solutions and Networks GmbH & Co. KG, Germany
Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations
Jun 1, 2026Deyu Zhuang, Peiliang Gong, Yang Shao +4Useful Life Prediction Predictive Maintenance
Nanjing University of Aeronautics and Astronautics Nanjing, China · Nanyang Technological University Singapore · Singapore University of Technology and Design Singapore
Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization
May 29, 2026Xabier Belaunzaran, Antonio Nappa, Arkaitz Artetxe +1Useful Life Prediction Prognostics
Fundación Vicomtech · Basque Research and Technology Alliance (BRTA) · Mikeletegi 57, Donostia-San Sebastian, 20009, Spain +2
Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
May 28, 2026Jostein Barry-Straume, Changmin Son, Adrian Sandu +4Gas Turbine Combustor Useful Life Prediction
Computational Science Laboratory Department of Computer Science Virginia Tech Blacksburg, VA 24060
Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems
May 25, 2026Jianing Zhu, Yeonju Ro, John Robertson +5Agentic Deployments Long-Term Agent Memory
The University of Texas at Austin
Imagery Dataset for Remaining Useful Life Estimation of Synthetic Fibre Ropes
May 5, 2026Anju Rani, Daniel Ortiz-Arroyo, Petar DurdevicUseful Life Prediction Dynamic Rope Manipulation
Department of Energy Aalborg University Esbjerg, Denmark 6700
A Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN)
May 4, 2026Florent Imbert, Tosin Adewumi, Hui HanUseful Life Prediction Temporal Convolutional Networks
Machine Learning Group · Lulea University of Technology · Lulea, Sweden
Remaining Useful Life Estimation for Turbofan Engines: A Comparative Study of Classical, CNN, and LSTM Approaches
Apr 29, 2026Astitva Goel, Samarth Galchar, Sumit KanuUseful Life Prediction Cnn-Lstm
Khoury College of Computer Science, Northeastern University
Cardiac Stability Theory: An Axiomatically Grounded Framework for Continuous Cardiac Health Monitoring via Smartphone Photoplethysmography
Apr 26, 2026Timothy Oladunni, Farouk Ganiyu AdewumiCardiac Cardiovascular Risk Prediction
Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA
When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
Feb 18, 2026Mubashara Akhtar, Anka Reuel, Prajna Soni +34Artificial Intelligence Benchmarks Large Language Model Benchmarks
ETH Zurich · ETH AI Center · Stanford University +23

Oct 1, 2026, cs.LGJ/K move · Enter open · S save

Calibrating Prediction Timeliness Through Multi-Objective Hyperparameter Optimization for Remaining Useful Life Prediction

Tugrul Cabir Hakyemez, Ener Uras Gokhan

Department of Management Information Systems Istanbul Bilgi University Istanbul, Turkey · Beştepe Koleji Ankara, Turkey

Useful Life Prediction General Grid Search Framework Multi-Objective Optimization Prognostics Short-Horizon Forecasting

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In predictive maintenance, early and late RUL prediction errors carry asymmetric consequences, yet hyperparameter optimization typically targets a single accuracy metric that treats both directions equally. This study treats the optimization objective itself as a design variable. Five architectures (MLP, LSTM, XGBoost, TCN, and Transformer) are evaluated under three regimes: single-objective maximization of

R^2

, single-objective minimization of the NASA scoring function, and a multi-objective formulation that jointly optimizes both criteria. The multi-objective search employs NSGA-II with Entropy-CRITIC weighting for Pareto selection. Seventy-five model-dataset-strategy combinations are assessed on the NASA C-MAPSS turbofan and BackBlaze hard-disk drive benchmarks. On C-MAPSS, all strategies achieve comparable accuracy (

R^2 \approx 0.89

), yet multi-objective optimization reduces directional imbalance by approximately 33%, improving calibration of early versus late predictions. Model rankings prove configuration-dependent, with simpler architectures frequently outperforming deeper temporal models. On BackBlaze, the objectives shift from complementary to conflicting, producing divergent Entropy-CRITIC weights and a substantial generalization gap (best

R^2 \approx 0.34

). These results demonstrate that the optimization objective materially shapes prognostic behavior and that multi-objective search provides a practical mechanism for calibrating prediction timeliness in RUL modeling.

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