Results 91 to 100 of about 10,541,846 (196)

A Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN)

2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)
Accurate prediction of Remaining Useful Life (RUL) in aero-engines is vital for predictive maintenance, improved operational reliability, and reduced lifecycle costs. While deep learning approaches have demonstrated strong potential in this area, most existing methods focus primarily on model architecture design and treat input features uniformly ...
Florent Imbert, Tosin P. Adewumi, Hui Han   +2 more
openaire   +2 more sources

A novel gear RUL prediction method by diffusion model generation health index and attention guided multi-hierarchy LSTM

Scientific Reports
Gears, as indispensable components of machinery, demand accurate prediction of their Remaining Useful Life (RUL). To enhance the utilization of ordered information within time series data and elevate RUL prediction precision, this study introduces the ...
Xinping Chen
doaj   +1 more source

DFL-RUL: Decentralised Federated Learning for Battery Remaining Useful Life Estimation on Heterogeneous Edge-to-cloud

Accurate remaining useful life (RUL) prediction of lithium-ion batteries is essential for reliable and cost-effective electric vehicle operation, yet existing approaches largely rely on centralised training or overlook deployment constraints and data ...
Niri, Mona Faraji, El-Dalahmeh, Mo’ath, Marco, James, Pournazari, Jaber, Park, Dong-Hwan, Dinh, Truong Quang, Ahn, Jung-Hoon   +6 more
core   +1 more source

Attention-based Remaining Useful Lifetime Prediction Method for Industrial Internet of Things

工程科学与技术, 2022
As one of the important functions to realize industrial intelligence in Industrial Internet of Things (IIoT), remaining useful lifetime (RUL) prediction can predict the future degradation states of industrial equipment based on monitoring data and then ...
Guorui LI, Yajun WU, Ying WANG, Sancheng PENG, Cong WANG   +4 more
doaj  

A Novel Method for Remaining Useful Life Prediction of RF Circuits Based on the Gated Recurrent Unit–Convolutional Neural Network Model

Sensors
The remaining useful life (RUL) prediction of RF circuits is an important tool for circuit reliability. Data-driven-based approaches do not require knowledge of the failure mechanism and reduce the dependence on knowledge of complex circuits, and thus ...
Wanyu Yang, Kunping Wu, Bing Long, Shulin Tian   +3 more
doaj   +1 more source

Attentive Bidirectional Long Short-Term Memory Model to Predict the Remaining Useful Life of Aircraft Engines

Accurate Remaining Useful Life (RUL) prediction for turbofan engines remains a challenging issue for the aviation industry due to operational condition variability, sensor noise, and the relatively complex degradation patterns of turbofans.
Deo, Ravinesh C., Seixas Leal, Andreia, Ali, Mumtaz, Prasad, Salvin Sanjesh, Berton, Lilian, De Castro Santos, Luis Carlos   +5 more
core   +1 more source

基于无迹卡尔曼滤波的直升机主减速器剩余安全寿命预测

Jixie chuandong, 2014
An efficient remaining useful life（RUL）can provide key information for manager to make preventive maintenance strategy and prevent equipment unexpected downtime.Aim to nonlinear state process of equipment and real-time demand of life prediction in ...
林国语, 贾云献, 孙磊
doaj  

Prediction of Remaining Useful Life (RUL) in Refinery using Deep Learning

, 2019
The Remaining Useful Life (RUL) is typically used as the process of predicting the life span of machine before its failure. The purpose of this project is to develop a predictive analysis system of Remaining Useful Life (RUL) in refinery.
Baharadin, Hazirah
core  

Remaining Life Prediction of Bearings Based on Improved IF-SCINet

IEEE Access
In the field of health management, predicting the remaining useful life (RUL) of a device becomes critical. However, the RUL prediction process is often affected by a various of confounding factors, resulting in reduced prediction accuracy.
Jing Zhang, Chao Zhang, Shuai Xu, Guiyi Liu, Hongbo Fei, Le Wu   +5 more
doaj   +1 more source

Bayesian approach for remaining useful life prediction.

, 2013
International audiencePrediction of the remaining useful life (RUL) of critical components is a non-trivial task for industrial applications. RUL can differ for similar components operating under the same conditions.
Zerhouni, Noureddine, Medjaher, Kamal, Mosallam, Ahmed   +2 more
core   +1 more source