Remaining useful life prediction based on parallel multi-scale feature fusion network.
- Published in:
- Journal of Intelligent Manufacturing, 2025, v. 36, n. 5, p. 3111, doi. 10.1007/s10845-024-02399-y
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- Publication type:
- Article
Works about REMAINING useful life
Results: 794
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Remaining Useful Life Prediction for Tools Based on Monitoring Data and Stochastic Degradation Model.
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- Journal of Advanced Computational Intelligence & Intelligent Informatics, 2025, v. 29, n. 3, p. 668, doi. 10.20965/jaciii.2025.p0668
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- Article
3
An intelligent hybrid deep learning model for rolling bearing remaining useful life prediction.
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- Nondestructive Testing & Evaluation, 2025, v. 40, n. 6, p. 2670, doi. 10.1080/10589759.2024.2385074
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- Article
4
基于退化相似性的变应力工况下 IGBT 寿命预测方法.
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- Electric Machines & Control / Dianji Yu Kongzhi Xuebao, 2025, v. 29, n. 2, p. 105, doi. 10.15938/j.emc.2025.02.011
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5
Remaining useful life prediction of ultrasonic motor based on nonlinear stochastic degradation process.
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- Nonlinear Dynamics, 2025, v. 113, n. 14, p. 17997, doi. 10.1007/s11071-025-11083-6
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- Article
6
Remaining Useful Life Prediction of Rotating Machinery Bearings Based on Adaptive Multi-domain Feature Selection and Nested LSTM.
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- Journal of Failure Analysis & Prevention, 2025, v. 25, n. 2, p. 846, doi. 10.1007/s11668-025-02162-2
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- Article
7
Developing a Framework for Building Condition Assessment of Schools in Osijek-Baranja County.
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- Buildings (2075-5309), 2025, v. 15, n. 9, p. 1511, doi. 10.3390/buildings15091511
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- Article
8
Application-Wise Review of Machine Learning-Based Predictive Maintenance: Trends, Challenges, and Future Directions.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 9, p. 4898, doi. 10.3390/app15094898
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- Article
9
Physics-Based Electrochemical–Thermal–Mechanical–Side Reaction Coupling Aging Model for Lithium-Ion Batteries.
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- Journal of Electronic Materials, 2025, v. 54, n. 6, p. 4618, doi. 10.1007/s11664-025-11944-1
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- Article
10
PEMFC Remaining Life Prediction Using Improved Golden Jackal Optimization Algorithm to Optimize CNN-BILSTM-ATTENTION.
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- Engineering Letters, 2025, v. 33, n. 5, p. 1411
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- Article
11
Remaining Useful Life Prediction Based on Forward Intensity.
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- Technometrics, 2025, v. 67, n. 2, p. 238, doi. 10.1080/00401706.2024.2421763
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- Article
12
Predicting Remaining Useful Life and Optimizing Preventive Maintenance for Multistage Manufacturing Processes.
- Published in:
- Quality & Reliability Engineering International, 2025, v. 41, n. 4, p. 1562, doi. 10.1002/qre.3737
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13
Remaining Useful Life Analysis for Two‐Stage Nonlinear Inverse Gaussian Process With Random Effects.
- Published in:
- Quality & Reliability Engineering International, 2025, v. 41, n. 4, p. 1447, doi. 10.1002/qre.3729
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- Article
14
Prediction of Equipment Remaining Useful Life Based on Graph Learning and Spatiotemporal Knowledge Graph.
- Published in:
- Quality & Reliability Engineering International, 2025, v. 41, n. 4, p. 1209, doi. 10.1002/qre.3713
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- Article
15
Remaining Useful Life Prediction of Mining Equipment Based on Wavelet Thresholding and ResNet.
- Published in:
- Traitement du Signal, 2025, v. 42, n. 2, p. 761, doi. 10.18280/ts.420214
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- Article
16
A framework for tool wear and remaining useful life prediction in machining process using monitoring data and machine learning.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2025, v. 138, n. 2, p. 491, doi. 10.1007/s00170-025-15534-7
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- Article
17
Correction: Lithium-ion batteries remaining useful life prediction using a parallel BILSTM-MHA neural network based on a CEEMDAN module.
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- 2025
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- Correction Notice
18
Lithium-ion batteries remaining useful life prediction using a parallel BILSTM-MHA neural network based on a CEEMDAN module.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2025, v. 137, n. 7, p. 3359, doi. 10.1007/s00170-025-15169-8
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- Publication type:
- Article
19
Predicting the remaining useful life of a tool material using acoustic emission signals.
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- International Journal of Advanced Manufacturing Technology, 2025, v. 136, n. 11, p. 4877, doi. 10.1007/s00170-025-15097-7
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- Publication type:
- Article
20
Effective RUL prediction of the milling tool based on Shannon entropy feature selection method and squared exponential-Gaussian process regression model.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2025, v. 136, n. 2, p. 693, doi. 10.1007/s00170-024-14868-y
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- Publication type:
- Article
21
Techno-Economic analysis of ceramic matrix composites integration in remaining useful Life Aircraft Engine Hot Section Components.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2024, v. 135, n. 9/10, p. 4189, doi. 10.1007/s00170-024-14743-w
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- Publication type:
- Article
22
Hybrid heterogeneous prognosis of drill-bit lives through model-based spindle power analysis and direct tool inspection.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2024, v. 135, n. 5/6, p. 2645, doi. 10.1007/s00170-024-14645-x
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- Publication type:
- Article
23
Digital twin-driven lifecycle management for motorized spindle.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2024, v. 135, n. 1/2, p. 443, doi. 10.1007/s00170-024-14538-z
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- Publication type:
- Article
24
Advances and limitations in machine learning approaches applied to remaining useful life predictions: a critical review.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2024, v. 133, n. 9/10, p. 4059, doi. 10.1007/s00170-024-14000-0
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- Article
25
Correction to: Advanced ML for predictive maintenance: a case study on remaining useful life prediction and reliability enhancement.
- Published in:
- 2024
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- Publication type:
- Correction Notice
26
Advanced ML for predictive maintenance: a case study on remaining useful life prediction and reliability enhancement.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2024, v. 132, n. 1/2, p. 323, doi. 10.1007/s00170-024-13351-y
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- Publication type:
- Article
27
Research on reconstruction and high-precision detection of tool wear edges under complex lighting environmental influences.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2023, v. 129, n. 9/10, p. 4529, doi. 10.1007/s00170-023-12446-2
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- Article
28
Tool remaining useful life prediction and parameters optimization in milling 508III steel.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 129, n. 3/4, p. 1741, doi. 10.1007/s00170-023-12310-3
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- Publication type:
- Article
29
In-process detection of failure modes using YOLOv3-based on-machine vision system in face milling Inconel 718.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2023, v. 128, n. 9/10, p. 3885, doi. 10.1007/s00170-023-12168-5
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- Article
30
A task-driven remaining useful life predicting method for key parts of electromechanical equipment under dynamic service environment.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2023, v. 125, n. 9/10, p. 4149, doi. 10.1007/s00170-023-10981-6
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- Article
31
Tool remaining useful life prediction using bidirectional recurrent neural networks (BRNN).
- Published in:
- International Journal of Advanced Manufacturing Technology, 2023, v. 125, n. 9/10, p. 4027, doi. 10.1007/s00170-023-10811-9
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32
A hybrid network capturing multisource feature correlations for tool remaining useful life prediction.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2023, v. 125, n. 5/6, p. 2815, doi. 10.1007/s00170-023-10837-z
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- Article
33
Dissociation artificial neural network for tool wear estimation in CNC milling.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2023, v. 125, n. 1/2, p. 887, doi. 10.1007/s00170-022-10737-8
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- Article
34
A novel prediction network for remaining useful life of rotating machinery.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2023, v. 124, n. 11/12, p. 4009, doi. 10.1007/s00170-021-08351-1
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- Article
35
A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2022, v. 123, n. 9/10, p. 3599, doi. 10.1007/s00170-022-10391-0
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- Publication type:
- Article
36
Remaining useful lifetime estimation for metal-bonded grinding tools using hybrid machine learning.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2022, v. 123, n. 9/10, p. 3243, doi. 10.1007/s00170-022-10260-w
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- Publication type:
- Article
37
Combining adaptive time-series feature window and stacked bidirectional LSTM for predicting tool remaining useful life without failure data.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2022, v. 121, n. 11/12, p. 7509, doi. 10.1007/s00170-022-09771-3
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- Article
38
Similarity-based prediction method for machinery remaining useful life: A review.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2022, v. 121, n. 3/4, p. 1501, doi. 10.1007/s00170-022-09280-3
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- Article
39
Hybrid HGRN-SCSO technique for enhanced prediction of remaining useful life in EV batteries.
- Published in:
- Electrical Engineering, 2025, v. 107, n. 4, p. 5311, doi. 10.1007/s00202-024-02913-8
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- Publication type:
- Article
40
Multimonth-ahead data-driven remaining useful life prognostics of frequency regulation-battery energy storage systems in cell voltage inconsistency.
- Published in:
- Electrical Engineering, 2025, v. 107, n. 4, p. 4615, doi. 10.1007/s00202-024-02797-8
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- Publication type:
- Article
41
Machine learning-based direct estimation of remaining useful life (RUL) of IGBT using multi-precursor prognostics.
- Published in:
- Electrical Engineering, 2025, v. 107, n. 3, p. 3435, doi. 10.1007/s00202-024-02834-6
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- Publication type:
- Article
42
Partial discharge diagnosis and remaining useful lifetime in XLPE extruded power cables under DC voltage: a review.
- Published in:
- Electrical Engineering, 2023, v. 105, n. 6, p. 4195, doi. 10.1007/s00202-023-01935-y
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- Publication type:
- Article
43
An online unscented Kalman filter remaining useful life prediction method applied to second-life lithium-ion batteries.
- Published in:
- Electrical Engineering, 2023, v. 105, n. 6, p. 3481, doi. 10.1007/s00202-023-01910-7
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- Publication type:
- Article
44
Lifetime prediction of ship EPR cable under two factors based on retention rate of hardness.
- Published in:
- Electrical Engineering, 2023, v. 105, n. 3, p. 1839, doi. 10.1007/s00202-023-01748-z
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- Article
45
A Note on the Sensitivity of Permutation Entropy to Additive Noise.
- Published in:
- Fluctuation & Noise Letters, 2025, v. 24, n. 3, p. 1, doi. 10.1142/S0219477525500257
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- Publication type:
- Article
46
Zur Novellierung der erbschaft- und schenkungsteuerlichen Grundbesitzbewertung durch das JStG 2022.
- Published in:
- FinanzRundschau, 2023, v. 105, n. 4, p. 153, doi. 10.9785/fr-2023-1050404
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- Article
47
JStG 2022: Geplante Abschaffung der Gebäudeabschreibung nach der kürzeren tatsächlichen Nutzungsdauer ab VZ 2023 – Was wären die Auswirkungen?
- Published in:
- FinanzRundschau, 2022, v. 104, n. 21, p. 965, doi. 10.9785/fr-2022-1042102
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- Article
48
基于性能退化指标的轴承剩余寿命预测及其应用.
- Published in:
- Ordnance Industry Automation, 2023, v. 42, n. 5, p. 40, doi. 10.7690/bgzdh.2023.05.009
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- Publication type:
- Article
49
Impact of Data Partitioning to Improve Prediction Accuracy for Remaining Useful Life of Li-Ion Batteries.
- Published in:
- International Journal of Energy Research, 2023, p. 1, doi. 10.1155/2023/9305309
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- Article
50
A data‐driven approach with error compensation and uncertainty quantification for remaining useful life prediction of lithium‐ion battery.
- Published in:
- International Journal of Energy Research, 2022, v. 46, n. 14, p. 20121, doi. 10.1002/er.8321
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- Publication type:
- Article