Results 41 to 50 of about 10,974,174 (198)

Innovative methods predicting the remaining useful life of transformer using limited data

Array
Electricity is essential in today's life, with electricity consumption expected to increase by up to 80% by 2024, making transformers essential. In developing countries, power transformers in power plants are often not regularly monitored, making the ...
Nur Avika Febriani, Ika Noer Syamsiana, Rachmat Sutjipto, Arwin Datumaya Wahyudi Sumari, Chandra Wiharya, Rhezal Agung Ananto, Rahma Nur Amalia   +6 more
doaj   +1 more source

Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures

Advanced Functional Materials, EarlyView.
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash, Rituparna Mohanty, Jack Leber, David Nageb, Mirella Richard, Sharan Singh, Amin Reihani   +6 more
wiley   +1 more source

Real-Time Remaining Useful Life Prediction of Cutting Tools Using Sparse Augmented Lagrangian Analysis and Gaussian Process Regression

Sensors, 2022
Remaining useful life (RUL) of cutting tools is concerned with cutting tool operational status prediction and damage prognosis. Most RUL prediction methods utilized different features collected from different sensors to predict the life of the tool.
Xiao Qin, Weizhi Huang, Xuefei Wang, Zezhi Tang, Zepeng Liu   +4 more
doaj   +1 more source

Correction: Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model

PLOS ONE, 2021
[This corrects the article DOI: 10.1371/journal.pone.0236128.].
Awat Ghomghaleh, Reza Khaloukakaie, Mohammad Ataei, Abbas Barabadi, Ali Nouri Qarahasanlou, Omeid Rahmani, Amin Beiranvand Pour   +6 more
openaire   +3 more sources

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Predictive Maintenance of Manufacturing Industry Machines Using Remaining Useful Life (RUL) Prediction

International Journal of Computer Science and Mobile Computing
In this paper, a lightweight Autoencoder-LSTM is provided to predict Remaining Useful Life (RUL) of bearings in real-life circumstances with noisy sensors and a small amount of labeled information. The method involves unsupervised health indicator (HI) construction and time modelling that is supervised.
Vishwa Kiran K H, Mohan S H, Rohit M N, Divyashri C R   +3 more
openaire   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Remaining Useful Life Prediction of Photovoltaic Modules Based on Kalman Filter and Variational Inference

Energy Science &Engineering, EarlyView.
A rolling local inference framework integrates Kalman filtering, RTS smoothing, variational parameter estimation, and first‐passage‐time analysis for probabilistic remaining useful life prediction of photovoltaic modules. The framework provides stage‐dependent RUL estimates with prediction intervals while explicitly characterizing degradation ...
Wei Chen, Ao Wang, Tingting Pei, Yang Wu
wiley   +1 more source

A Study of a Domain-Adaptive LSTM-DNN-Based Method for Remaining Useful Life Prediction of Planetary Gearbox

, 2023
Remaining Useful Life (RUL) prediction is an important component of failure prediction and health management (PHM). Current life prediction studies require large amounts of tagged training data assuming that the training data and the test data follow a ...
Hao Li, Beining Cui, Yuxin Liu, Xuanzhe Zhang, Chaobin Tan, Zixuan Liu   +5 more
core   +1 more source

Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and SVM [PDF]

This paper proposes a three-stage method involved system identification techniques, proportional hazard model, and support vector machine for assessing the machine health degradation and forecasting the machine remaining useful life (RUL).
Tran, Van Tung
core   +1 more source