Results 71 to 80 of about 20,775 (227)

A New Strategy: Remaining Useful Life Prediction of Wind Power Bearings Based on Deep Learning under Data Missing Conditions

Mathematics
With its formidable nonlinear mapping capabilities, deep learning has been widely applied in bearing remaining useful life (RUL) prediction. Given that equipment in actual work is subject to numerous disturbances, the collected data tends to exhibit ...
Xuejun Li, Xu Lei, Lingli Jiang, Tongguang Yang, Zhenyu Ge   +4 more
doaj   +1 more source

Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM

Italian National Conference on Sensors
Predicting the Remaining Useful Life (RUL) is vital for ensuring the reliability and safety of equipment and components. This study introduces a novel method for predicting RUL that utilizes the Convolutional Block Attention Module (CBAM) to address the ...
Bo Sun, Wenting Hu, Hao Wang, Lei Wang, C. Deng   +4 more
semanticscholar   +1 more source

Sequential Network with Residual Neural Network for Rotatory Machine Remaining Useful Life Prediction Using Deep Transfer Learning

Shock and Vibration, 2020
Deep learning has a strong feature learning ability, which has proved its effectiveness in fault prediction and remaining useful life prediction of rotatory machine.
Hao Zhang, Qiang Zhang, Siyu Shao, Tianlin Niu, Xinyu Yang, Haibin Ding   +5 more
doaj   +1 more source

Methods of Technical Prognostics Applicable to Embedded Systems [PDF]

, 2012
Hlavní cílem dizertace je poskytnutí uceleného pohledu na problematiku technické prognostiky, která nachází uplatnění v tzv. prediktivní údržbě založené na trvalém monitorování zařízení a odhadu úrovně degradace systému či jeho zbývající životnosti a to ...
Krupa, Miroslav
core  

Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning

Complexity, 2018
Because they are key components of aircraft, improving the safety, reliability and economy of engines is crucial. To ensure flight safety and reduce the cost of maintenance during aircraft engine operation, a prognostics and health management system that
Jian Ma, Hua Su, Wan-lin Zhao, Bin Liu
doaj   +1 more source

A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection [PDF]

, 2019
It is important to identify the change point of a system's health status, which usually signifies an incipient fault under development. The One-Class Support Vector Machine (OC-SVM) is a popular machine learning model for anomaly detection and hence ...
Chen, Yuxin, Jin, Baihong, Li, Dan, Poolla, Kameshwar, Sangiovanni-Vincentelli, Alberto   +4 more
core   +2 more sources

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction.

, 2014
International audienceReliability of prognostics and health management systems (PHM) relies upon accurate understanding of critical components' degradation process to predict the remaining useful life (RUL).
Medjaher, Kamal, Mosallam, Ahmed, Zerhouni, Noureddine   +2 more
core   +3 more sources

FOG COMPUTING BASED BEARING REMAINING USEFUL LIFE PROGNOSIS USING TIME SERIES NORMALIZED SIMILARITY AND RECURRENT NEURAL NETWORKS [PDF]

, 2019
Techniques are described for determining a remaining useful life (RUL) prognosis of bearings using a feature extraction module for extracting time series normalized similarity (TSNS) features for vibration data normalization and a prediction module ...
Jiao, Cheng, Liu, Tonny
core   +1 more source

Subsea Pipelines Health Prognostics Using Rate of Crack Propagation and Marco-Starkey, Cumulative Damage Theory [PDF]

, 2016
The prevention of failure in subsea pipelines has been a priority of users in many fields. Through prognosis, the Remaining useful life (RUL) of pipes can be predicted, and with proper maintenance techniques, its RUL can be extended. Subsea pipelines may
Nizamuddin, Mohamed Fazlan
core  

Prognostics: Design, Implementation, and Challenges [PDF]

, 2015
Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle health management (IVHM) system that leads to improved ...
Skaf, Zakwan
core