Results 171 to 180 of about 20,775 (227)

Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model

IEEE Transactions on Instrumentation and Measurement
In the past few years, deep learning (DL) techniques for predicting remaining useful life (RUL) have shown remarkable advancements, but model prediction accuracy and generalization to different data still need to be improved.
Liuyang Song, Ye Jin, Tianjiao Lin, Shengkai Zhao, Zhicheng Wei, Huaqing Wang   +5 more
semanticscholar   +1 more source

Partial Domain Adaptation in Remaining Useful Life Prediction With Incomplete Target Data

IEEE/ASME transactions on mechatronics
Intelligent machinery prognostics and health management (PHM) methods have been attracting growing attention in the past years, with the rapid development of the artificial intelligence algorithms.
Xiang Li, Wei Zhang, Xu Li, Hongshen Hao
semanticscholar   +1 more source

Prediction of remaining useful life (RUL) of ball-grid-array (BGA) interconnections during testing on the board level

2014 IEEE Aerospace Conference, 2014
In this paper, a printed circuit board (PCB) carrying surfacemounted devices (SMD) subjected to impact or vibration loads applied to its support contour is considered. A model-based prognosis approach is employed to assess the remaining useful life (RUL) of the ball-grid-array (BGA) solder joint interconnections. The approach deals with the interaction
David Gucik-Derigny, Ali Zolghadri, Laurent Bechou, Ephraim Suhir   +3 more
openaire   +1 more source

Multi-Resolution LSTM-Based Prediction Model for Remaining Useful Life of Aero-Engine

IEEE Transactions on Vehicular Technology
Aircraft is an important means of travel and the most convenient and fast vehicle in long-distance transportation. The aircraft engine is one of the most critical parts of an aircraft, and its reliability and safety are extremely important.
Tiantian Xu, Guangjie Han, Hongbo Zhu, T. Taleb, Jinlin Peng   +4 more
semanticscholar   +1 more source

Prediction of Remaining Useful Life of Rolling Bearings Based on Multiscale Efficient Channel Attention CNN and Bidirectional GRU

IEEE Transactions on Instrumentation and Measurement
To effectively capture both local and global features while retaining temporal dependencies in time-series data and to improve the accuracy of remaining useful life (RUL) prediction of rolling bearings, this article proposes a hybrid architecture based ...
Ping Ma, Guangfu Li, Hongli Zhang, Cong Wang, Xinkai Li   +4 more
semanticscholar   +1 more source

A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends

Mechanical systems and signal processing
Remaining Useful Life (RUL) prediction is a critical aspect of Prognostics and Health Management (PHM), aimed at predicting the future state of a system to enable timely maintenance and prevent unexpected failures.
Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen   +4 more
semanticscholar   +1 more source

Predictive Maintenance Scheduling for Aircraft Engines Based on Remaining Useful Life Prediction

IEEE Internet of Things Journal
This article presents a novel data-driven predictive maintenance scheduling framework for aircraft engines based on remaining useful life (RUL) prediction.
Lubing Wang, Ying Chen, Xufeng Zhao, J. Xiang   +3 more
semanticscholar   +1 more source

A hybrid deep learning approach for remaining useful life prediction of lithium-ion batteries based on discharging fragments

Applied Energy
Accurate remaining useful life (RUL) estimation is crucial for the normal and safe operations of lithium-ion batteries (LIBs). Traditionally, every cy-cle’s maximum discharging capacity should be measured and then serve as a model input to predict ...
Yunpeng Liu, Bo Hou, Moin Ahmed, Zhiyu Mao, Jiangtao Feng, Zhongwei Chen   +5 more
semanticscholar   +1 more source

Interactive Hybrid Model for Remaining Useful Life Prediction With Uncertainty Quantification of Bearing in Nuclear Circulating Water Pump

IEEE Transactions on Industrial Informatics
Journal bearings are the key components of the nuclear circulating water pump (NCWP), and accurate remaining useful life (RUL) prediction is of great significance for improving the reliability, safety, and maintenance planning of NCWP.
Wei Cheng, Shushuai Xie, Ji Xing, Zelin Nie, Xuefeng Chen, Yilong Liu, Xue Liu, Qian Huang, Rongyong Zhang   +8 more
semanticscholar   +1 more source

Non Coding of Big Dataset and the use of Neural Network Regression Artificial Intelligence Model in Azure for Predicting the Remaining Useful Life (RUL) of Bearing

2019 IEEE AFRICON, 2019
In this paper a non-coding method for analyzing big data without the use of Hadoop, Hive, Pig, etc. was demonstrated with the use of Neural Network regression (NNR) for predicting the remaining useful life (RUL) of a bearing. Using these nonlinear nonparametric approach to predict the RUL of a bearing is intuitively appealing.
Henry O. Omoregbee, Mabel U. Olanipekun, Aghogho B. Edward   +2 more
openaire   +1 more source