Predictive Maintenance

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Overview

Predictive maintenance studies how to use sensor readings, operating conditions, and maintenance records to detect faults, track equipment health, and estimate remaining useful life before failure. Common approaches include signal processing and statistical models, machine-learning classifiers, recurrent and Transformer-based sequence models, and physics-informed or survival models; newer work also explores self-supervision, foundation models, and federated learning when labels or shared data are limited. These forecasts can feed maintenance scheduling, risk assessment, and digital-twin or edge-monitoring systems, where uncertainty and decision costs matter alongside predictive accuracy. A central challenge is whether models and benchmarks remain reliable across machines, sites, failure modes, and noisy operating conditions, especially when data are scarce and evaluation protocols can hide leakage or poor calibration.

Latest papers

CardsList

120 papers9 papers in the last four weeks, down 25% on the four weeks before. 0.1% of all new papers.

  1. A Multi-head Attention Fusion Network for Industrial Prognostics under Discrete Operational Conditions

    Apr 11, 2026Yuqi Su, Xiaolei FangRUL EstimationPredictive Maintenance

    Operations Research Graduate Program, North Carolina State University, Raleigh, NC, USA. · Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA.

  2. Quantization Impact on the Accuracy and Communication Efficiency Trade-off in Federated Learning for Aerospace Predictive Maintenance

    Apr 9, 2026Abdelkarim LoukiliGradient QuantizationFederated Learning

  3. A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation

    Apr 9, 2026Milad Leyli-Abadi, Lucas Thil, Sebastien Razakarivony +2Predictive MaintenanceBayesian Inverse Problems

    Institut de recherche technologique SystemX, Palaiseau, France · École Polytechnique, LIX, Palaiseau, France · Safran Tech, Magny-les-Hameaux, France

  4. Smart Commander: A Hierarchical Reinforcement Learning Framework for Fleet-Level PHM Decision Optimization

    Apr 8, 2026Yong Si, Mingfei Lu, Jing Li +4Hierarchical RLPredictive Maintenance

    School of Aerospace Engineering, Tsinghua University, China · College of Information and Control Engineering, Xi’an University of Architecture and Technology, China · Hangzhou International Innovation Institute, Beihang University, China +2

  5. LoRM: Learning the Language of Rotating Machinery for Self-Supervised Condition Monitoring

    Apr 7, 2026Xiao Qin, Xingyi Song, Tong Liu +4Time Series Language ModelingPredictive Maintenance

    Department of Computer Science, University of Warwick, Coventry, UK · Department of Computer Science, University of Sheffield, Sheffield, UK · Advanced Manufacturing Research Centre, University of Sheffield, Sheffield, UK +2

  6. Interpretable Deep Reinforcement Learning for Element-level Bridge Life-cycle Optimization

    Apr 2, 2026Seyyed Amirhossein Moayyedi, David Y. YangInterpretability in RLPredictive Maintenance

    Department of Civil and Environmental Engineering, Portland State University, Portland, OR 97201

  7. PHMForge: Evaluating LLM Agents on Industrial Prognostics through MCP-Native, Algorithm-Grounded Tools

    Apr 2, 2026Yusheng Li, Tianjun Feng, Yunfeng Chen +6LLM Agent EvaluationAI Agent Benchmarks

    Columbia University · Georgia Institute of Technology · IBM, New York

  8. Transformer-Based Prognostics: Enhancing Network Availability by Improved Monitoring of Optical Fiber Amplifiers

    Mar 30, 2026Dominic Schneider, Lutz Rapp, Christoph AmentRUL EstimationPredictive Maintenance

    Advanced Technology, Adtran Networks SE, 98617 Meiningen, Germany · Faculty of Applied Computer Science, University of Augsburg, 86159 Augsburg, Germany

  9. MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices

    Mar 24, 2026Jiahui Zhou, Dan Li, Ruibing Jin +5Industrial Internet of ThingsPredictive Maintenance

    School of Software Engineering, Sun Yat-Sen University, China · Agency for Science, Technology and Research (A*STAR), Singapore · School of the Art Institute of Chicago, Chicago +1

  10. A Heterogeneous Long-Micro Scale Cascading Architecture for General Aviation Health Management

    Mar 24, 2026Xinhang Chen, Zhihuan Wei, Yang Hu +3Fault DiagnosisPredictive Maintenance

  11. Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration

    Mar 19, 2026Adithya Parthasarathy, Aswathnarayan Muthukrishnan Kirubakaran, Akshay Deshpande +5Predictive MaintenanceEvent Time Prediction

  12. When GPUs Fail Quietly: Observability-Aware Early Warning Beyond Numeric Telemetry

    Mar 17, 2026Michael Bidollahkhani, Freja Nordsiek, Julian M. KunkelFault DetectionPredictive Maintenance

    Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) Georg-August-Universität Göttingen Göttingen, Germany

  13. Learning to Predict, Discover, and Reason in High-Cardinality Event Sequences

    Mar 17, 2026Hugo MathFault DiagnosisPredictive Maintenance

    Faculty of Applied Computer Science, University of Augsburg

  14. ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance

    Mar 14, 2026Mohsin Mahmud Topu, Azmine Toushik Wasi, Mahfuz Ahmed Anik +1Predictive MaintenanceSpatiotemporal GNNs

    Shahjalal University of Science and Technology, Sylhet, Bangladesh · University of Oklahoma, Norman, OK, United States

  15. Traffic and weather driven hybrid digital twin for bridge monitoring

    Mar 14, 2026Phani Raja Bharath Balijepalli, Bulent Soykan, Veeraraghava Raju HastiStructural Health MonitoringDigital Twins

    University of Central Florida, Orlando, FL, USA

  16. Domain-Adaptive Health Indicator Learning with Degradation-Stage Synchronized Sampling and Cross-Domain Autoencoder

    Mar 11, 2026Jungho Choo, Hanbyeol Park, Gawon Lee +2Predictive MaintenanceAutoencoders

    Major in Industrial Data Science Engineering, Department of Industrial Engineering, Pusan National University, Busan, 46241, Republic of Korea · C4ISTAR IPS R&D LIG Nex1, Pangyo, 13488, Republic of Korea · Department of Data Science, Graduate School of Data Science, Pusan National University, Busan, 46241, Republic of Korea

  17. Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions

    Mar 9, 2026Aurelio Raffa Ugolini, Jessica Leoni, Valentina Breschi +4Anomaly DetectionInterpretable Anomaly Detection

    DEIB, Politecnico di Milano Via Giuseppe Ponzio 34, Milano, 20133 (Italy) · Dep. of Electrical Engineering, TU\e Groene Loper 19, Eindhoven, 5600 MB (The Netherlands) · Leonardo Labs, Leonardo S.p.A. Piazza Monte Grappa 4, Roma, 00195 (Italy)

  18. TS-MLLM: A Multi-Modal Large Language Model-based Framework for Industrial Time-Series Big Data Analysis

    Mar 8, 2026Haiteng Wang, Yikang Li, Yunfei Zhu +3Multimodal Large Language ModelsTime Series Forecasting

    School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China · School of Software, Beihang University, Beijing 100191, China · Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, China +3

  19. AI-Driven Predictive Maintenance with Environmental Context Integration for Connected Vehicles: Simulation, Benchmarking, and Field Validation

    Mar 7, 2026Kushal Khemani, Anjum Nazir QureshiPredictive MaintenanceMultimodal Sensor Fusion

    Independent Researcher, India · Rajiv Gandhi College of Engineering Research and Technology

  20. Aura: Universal Multi-dimensional Exogenous Integration for Aviation Time Series

    Mar 5, 2026Jiafeng Lin, Mengren Zheng, Simeng Ye +5Exogenous Time Series ForecastingTime Series Forecasting

    School of Software, BNRist, Tsinghua University, Beijing, China · Hongshen College, Chongqing University, Chongqing, China · School of Software, Tsinghua University, Beijing, China +1

  21. Retrieval-Augmented Generation with Covariate Time Series

    Mar 5, 2026Kenny Ye Liang, Zhongyi Pei, Huan Zhang +3Time Series Forecasting with CovariatesRetrieval-Augmented Time Series Forecasting

    Tsinghua University · China Southern Airlines

  22. Bi-cLSTM: Residual-Corrected Bidirectional LSTM for Aero-Engine RUL Estimation

    Feb 28, 2026Rafi Hassan Chowdhury, Nabil Daiyan, Faria Ahmed +2RUL EstimationPredictive Maintenance

    Department of Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh · Department of Aeronautical Engineering, Military Institute of Science and Technology, Dhaka 1216, Bangladesh

  23. Prognostics of Multisensor Systems with Unknown and Unlabeled Failure Modes via Bayesian Nonparametric Process Mixtures

    Feb 22, 2026Kani Fu, Sanduni S Disanayaka Mudiyanselage, Chunli Dai +1Dirichlet Process Mixture ModelsPredictive Maintenance

    Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA · School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, USA

  24. Axle Sensor Fusion for Online Continual Wheel Fault Detection in Wayside Railway Monitoring

    Feb 18, 2026Afonso Lourenço, Francisca Osório, Diogo Risca +1Fault DiagnosisOnline Anomaly Detection

    GECAD, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, Porto, 4249-015, Portugal

  25. Self-Evolving Multi-Agent Network for Industrial IoT Predictive Maintenance

    Feb 17, 2026Rebin Saleh, Khanh Pham Dinh, Balázs Villányi +1Predictive MaintenanceIndustrial Anomaly Detection

    Department of Electronics Technology, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary · DataScienceWorld.Kan, Hanoi, Vietnam · Department of Computer Science, The University of Alabama at Birmingham, 1720 University Blvd, Birmingham, AL 35294 USA

  26. Triplet Feature Fusion for Equipment Anomaly Prediction : An Open-Source Methodology Using Small Foundation Models

    Feb 16, 2026Takato YasunoAnomaly DetectionPredictive Maintenance

  27. Auditing Frozen-Encoder Anomaly Detection Across Mechanical Systems: Representation Provenance, Calibration, and Protocol Effects

    Jan 16, 2026Jose Sánchez AndreuMahalanobis DistanceIndustrial Anomaly Detection

    Independent Researcher, Murcia, Spain

  28. Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics

    Jan 7, 2026Ibai Ramirez, Jokin Alcibar, Joel Pino +2Bayesian Neural NetworksUncertainty Quantification

    Department of Electronics and Computer Science Mondragon University Arrasate-Mondragon, 20500, Spain · CARTIF Technology Centre Valladolid, 47151, Spain · Department of Physical Chemistry University of the Basque Country (EHU)[cs.LG] Basque Centre for Applied Mathematics (BCAM) Leioa, 20018, Spain +1

  29. Data-Driven Maintenance Optimization: Aligning Prognostic Learning with Decision Objective

    Jun 24, 2025Zhuojun Xie, Adam Abdin, Yiping FangPredictive MaintenancePredict-Then-Optimize

    Laboratoire Génie Industriel, CentraleSupélec, Université Paris-Saclay

  30. FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

    Jun 3, 2025Christodoulos Constantinides, Dhaval Patel, Shuxin Lin +3Question AnsweringLLM Reliability

    IBM · IBM TJ Watson Research Center