Results 101 to 110 of about 1,541,566 (221)

An Intelligent PHM System for Bearing Fault Phase Diagnosis and Multi-Phase RUL Prediction using Oil Debris Monitors

, 2021
Several experimental studies have found that rolling element bearing's service life can be typically divided into three phases: normal operation, gradual degradation, and accelerated degradation.
Raj, Lourd Arun
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An Ensemble Learning and RUL Prediction Method Based on Bearings Degradation Indicator Construction

, 2020
The prediction of the remaining life of a bearing plays a vital role in reducing the accident-related maintenance costs of machinery and in improving the reliability of machinery and equipment.
Qiaoping Tian, Honglei Wang
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A Directed Acyclic Graph Network Combined With CNN and LSTM for Remaining Useful Life Prediction

IEEE Access, 2019
Accurate and timely prediction of remaining useful life (RUL) of a machine enables the machine to have an appropriate operation and maintenance decision.
Jialin Li, Xueyi Li, David He
doaj   +1 more source

Unsupervised Kernel Regression Modeling Approach for RUL Prediction.

, 2014
International audienceRecently, Prognostics and Health Management (PHM) has gained attention from the industrial world since it aims at increasing safety and reliability while reducing the maintenance cost by providing a useful prediction about the ...
Morello, Brigitte, Zerhouni, Noureddine, Khelif, Racha, Racha Khelif, Simon Malinowski, Noureddine Zerhouni, Malinowski, Simon, Brigitte Chebel Morello   +7 more
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RUL Prediction of Railway PCCS Based on Wiener Process Model with Unequal Interval Wear Data

, 2020
The railway pantograph carbon contact strip (PCCS) plays a critical role in collecting the electric current from the catenary to guarantee the steady power supply for the train. The catenary contacts with the PCCS and slides from one side to another side
Xiukun Wei, Ye He, Qingluan Guan, Haiqiang Zhang, Limin Jia   +4 more
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Remaining Useful Life Prediction for Rotating Machinery Based on Optimal Degradation Indicator

Shock and Vibration, 2017
Remaining useful life (RUL) prediction can provide early warnings of failure and has become a key component in the prognostics and health management of systems.
Aisong Qin, Qinghua Zhang, Qin Hu, Guoxi Sun, Jun He, Shuiquan Lin   +5 more
doaj   +1 more source

RUL Prediction for Piezoelectric Vibration Sensors Based on Digital-Twin and LSTM Network

Piezoelectric vibration sensors (PVSs) are widely used in high-temperature environments, such as vibration measurements in aero-engines, because of their high accuracy, small size, and high temperature resistance.
Weifang Zhang, Chengcheng Fu, Cheng Gao
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Prediction of the Remaining Useful Life of Bearings Through CNN-Bi-LSTM-Based Domain Adaptation Model

Sensors
Predicting the remaining useful life (RUL) of mechanical bearings is crucial in the industry. Estimating the RUL enables the assessment of health bearing, maintenance planning, and significant cost reduction, thereby fostering industrial development ...
Feifan Li, Zhuoheng Dai, Lei Jiang, Chanfei Song, Caiming Zhong, Yingna Chen   +5 more
doaj   +1 more source

Contrastive, Autoencoding, and Variational Representations for Telemetry-Driven RUL Prediction

Predictive Maintenance in safety-critical industries relies on accurate Remaining Useful Life (RUL) estimation from multivariate telemetry. Still real-world datasets are often dominated by censored observations and frequently lack explicit failure ...
Mahmoud Rahat
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Comparison of RUL prediction between GPM, SVM, and GPR of No.5 and No.6 batteries.

, 2016
Comparison of RUL prediction between GPM, SVM, and GPR of No.5 and No.6 batteries.
Kuei-Hsiang Chao (3121788), Lingling Li (427154), Yang Xie (46489), Pengchong Wang (3121785), Yatong Zhou (3121791)   +4 more
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