Results 51 to 60 of about 9,526,985 (202)

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

Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion

Scientific Reports, 2022
In turbofan engine datasets, to address problems, such as noise interference, diverse data types, large data volumes, complex feature extraction, inability to effectively describe degradation trends, and poor remaining useful life (RUL) prognosis effects,
Cheng Peng, Yufeng Chen, Weihua Gui, Zhaohui Tang, Changyun Li   +4 more
doaj   +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 (RUL) Estimation of Lead Acid Battery using Bayesian Approach

Journal of Electrical Engineering and Automation, 2020
This article deals with Remaining Useful Life (RUL) estimation of Lead Acid Battery using a probabilistic approach which is Bayesian inference of Linear Regression. RUL estimation of lead acid battery plays a very crucial role as it can prevent the catastrophic failure for the system in which it is used to serve as a power supply mainly in automobiles.
Bhalaji N., Rimi Chowdhury
openaire   +1 more source

jiaxiang-cheng/transformer-pytorch-remaining-useful-life-prediction: Pre-release with Minimum Implementation

, 2021
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021).
Jia-Xiang Cheng
core   +1 more source

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

Metrics for Offline Evaluation of Prognostic Performance [PDF]

International Journal of Prognostics and Health Management, 2010
Prognostic performance evaluation has gained significant attention in the past few years.Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent interpretations.
Sankalita Saha, Bhaskar Saha, Abhinav Saxena, Kai Goebel, Jose Celaya   +4 more
doaj  

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

Remaining Useful Life estimation based on discriminating shapelet extraction.

, 2015
International audienceIn the Prognostics and Health Management (PHM) domain, estimating the remaining useful life (RUL) of critical machinery is a challenging task.
Zerhouni, Noureddine, Chebel-Morello, Brigitte, Malinowski, Simon   +2 more
core   +1 more source

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source