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1. Threshold-Varying Assessment for Prognostics and Health Management NSTL国家科技图书文献中心

Dongzhen Lyu |  Enhui Liu... -  《IEEE transactions on systems, man, and cybernetics.Systems》 - 2025,55(1 Pt.2) - 685~698 - 共14页 - 被引量:2

摘要:Prognostics and health management (PHM) has |  garnered significant attention in industrial fields | , particularly due to its successful application in managing |  battery degradation. However, current approaches are |  inadequate in addressing multiple thresholds, including
关键词: Prognostics and health management |  Degradation |  Batteries |  Computational complexity |  Real-time systems |  Space vehicles |  Prediction algorithms |  Maintenance |  Investment |  Accuracy

2. Aging mechanisms, prognostics and management for lithium-ion batteries: Recent advances NSTL国家科技图书文献中心

Wang Y. |  Xiang H.... -  《Renewable & sustainable energy reviews》 - 2025,207(Jan.) - 1.1~1.16 - 共16页 - 被引量:4

摘要: the aging mechanisms, health prognostics, and | © 2024 Elsevier LtdIn the rapidly evolving |  landscape of energy storage, lithium-ion batteries stand |  at the forefront, powering a vast array of devices |  from mobile phones to electric vehicles and renewable
关键词: Battery aging mechanisms |  Battery health management |  Battery health prognostics |  Battery management system |  Lithium-ion batteries

3. An Adaptive LSTM-PR Hybrid Health Status Prognostics Strategy With Balance Between Accuracy and Computational Burden NSTL国家科技图书文献中心

Dong, Run |  Liu, Wenjie... -  《IEEE Transactions on Instrumentation and Measurement》 - 2025,74(Pt.1) - 3505009.1~3505009.9 - 共9页

摘要: and rapid estimation and prognostics of the health |  computational burden of HS prognostics for aviation contactors | , an adaptive LSTM-PR hybrid prognostics strategy is |  dataset of aviation contactors, the proposed prognostics | Aviation contactors are widely utilized in the
关键词: Accuracy |  Contactors |  Long short term memory |  Degradation |  Computational modeling |  Aircraft |  Atmospheric modeling |  Integrated circuit modeling |  Feature extraction |  Estimation...

4. Multiscale Corrosion Damage Diagnostics and Prognostics for a Miter Gate NSTL国家科技图书文献中心

Guofeng Qian |  Zihan Wu... -  《Model Validation and Uncertainty Quantification,Vol.3》 -  IMAC Conference and Exposition on Structural Dynamics - 2025, - 69~72 - 共4页

摘要: miter gates. The diagnostics and prognostics of |  and prognostics on a miter gate structure using | Stress corrosion is a common and complex |  deterioration type in large steel civil infrastructure such as |  corrosion damage in such structures is a major component
关键词: Stress corrosion |  Diagnosis |  Prognosis |  Structural health monitoring |  Computer vision

5. Prognostics and Health Management for Electrified Aircraft Propulsion: State of the Art and Challenges NSTL国家科技图书文献中心

Tang, Liang |  Saxena, Abhinav... -  《Journal of engineering for gas turbines and power》 - 2025,147(4) - 共11页

摘要: context, an intensified focus on prognostics and health | In recent years, the aviation industry has |  witnessed a transformative wave of innovation in |  electrified aircraft propulsion (EAP), driven by |  sustainability and efficiency goals. Integration of novel
关键词: prognostics and health management (PHM) |  electrified aircraft propulsion (EAP) |  model-based system engineering (MBSE)

6. Combining Similarity Measures and Left-Right Hidden Markov Models for Prognostics of Items Subjected to Perfect and Imperfect Maintenance NSTL国家科技图书文献中心

Zanotelli, Mattia |  Hines, J. Wesley... -  《Nuclear science and engineering》 - 2025,199(1) - 100~114 - 共15页

摘要: perform prognostics with extraordinary accuracy are |  focuses on the condition-based prognostics of items | In the nuclear industry, high system |  reliability requirements are essential since in-service |  failure can result in undesirable consequences in terms
关键词: Condition-based prognostics |  imperfect maintenance |  Hidden Markov Models |  nuclear power plants |  condenser fouling

7. A benchmark on uncertainty quantification for deep learning prognostics NSTL国家科技图书文献中心

Basora L. |  Viens A.... -  《Reliability engineering & system safety》 - 2025,253(Jan.) - 1.1~1.21 - 共21页

摘要: uncertainty quantification for deep learning prognostics | © 2024Reliable uncertainty quantification on |  RUL prediction is crucial for informative decision | -making in predictive maintenance. In this context, we |  assess some of the latest developments in the field of
关键词: Bayesian neural network |  Deep ensembles |  Monte Carlo dropout |  Remaining useful life |  Uncertainty quantification |  Variational inference

8. Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders NSTL国家科技图书文献中心

Sundaram, Sarvesh |  Zeid, Abe -  《Journal of Intelligent Manufacturing》 - 2025,36(3) - 1637~1657 - 共21页 - 被引量:2

摘要: incorporated Prognostics and Health Management (PHM) to | Modern manufacturing paradigms have |  implement data-driven methods for fault detection, failure |  prediction, and assessment of system health. The |  maintenance operation has similarly benefitted from these
关键词: Prognostics and Health Management |  Maintenance |  Natural language processing |  Sentence similarity |  Topic modeling |  Smart manufacturing

9. Data-Driven Aircraft Engine Prognostics Using Probabilistic Machine Learning on NASA C-MAPSS Dataset: An Industry 4.0 Standpoint NSTL国家科技图书文献中心

Vatanjeet Singh |  Rajnish Mallick... -  《Industry 4.0 and Advanced Manufacturing,Volume 2》 -  International Conference on Industry 4.0 and Advanced Manufacturing - 2025, - 61~72 - 共12页

摘要: the RUL is known as prognostics. Traditionally, data |  training ML algorithms for data-driven prognostics. GPR | Industry 4.0 has become increasingly |  integrated into the mechanical and aerospace industries | , since the inception of the Internet of Things (IoT
关键词: Industry 4.0 |  Data-driven prognostics |  Remaining useful life (RUL) |  Probabilistic machine learning |  Gaussian process regression (GPR) |  NASA c-MAPSS |  NASA score

10. Few-shot remaining useful life prognostics through auxiliary training with related dataset NSTL国家科技图书文献中心

Alaaeddine,Chaoub |  Alexandre,Voisin... -  《Neural computing & applications》 - 2025,37(6) - 4493~4509 - 共17页

摘要:Predicting the remaining useful life of |  equipment can help organizations improve efficiency | , reduce costs and enhance safety by enabling them to |  plan maintenance and repairs, and optimize their use |  of equipment. A major challenge in this field is
关键词: Prognostics and health management |  Remaining useful life prediction |  Deep learning |  Auxiliary training |  Few-shot learning |  Transfer learning
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