Results 21 to 30 of about 1,643,808 (218)

Gear Health Monitoring and RUL Prediction Based on MSB Analysis [PDF]

, 2022
Gearbox is a key component in mechanical transmission and faults on gears will lead to breakdowns and unscheduled downtime. Health condition monitoring and remaining useful life (RUL) prediction can provide sufficient leading time for gearbox timely ...
Xu, Minmin, Gu, Fengshou, Chen, Xiaohui, Sun, Xiuquan, Han, Yaoyao, Ding, Xiaoxi, Xiaohui Chen, Fengshou Gu, Xiuquan Sun, Minmin Xu, Xiaoxi Ding, Yaoyao Han   +11 more
core   +1 more source

Ensemble Neural Networks for Remaining Useful Life (RUL) Prediction [PDF]

, 2023
A core part of maintenance planning is a monitoring system that provides a good prognosis on health and degradation, often expressed as remaining useful life (RUL).
Andresen, Juan Carlos, Holst, Anders, Srinivasan, Abhishek,, Andresen, Juan Carlos,, Holst, Anders,, Srinivasan, Ahbishek   +5 more
core   +1 more source

A RUL prediction method of equipments based on MSDCNN-LSTM

, 2021
In order to solve the problems of high data dimension and insufficient consideration of time series correlation information, a multi-scale deep convolutional neural network and long-short-term memory (MSDCNN-LSTM) hybrid model is proposed for remaining ...
Chang Liu, Wenbai Chen
core   +2 more sources

Bearings RUL prediction based on contrastive self-supervised learning

, 2023
International audienceThis paper proposes a new contrastive self-supervised learning paradigm for bearing remaining useful life (RUL) prediction based on CNN-LSTM models.
Deng, Weikun, Gogu, Christian, Nguyen, Khanh, T P, Medjaher, Kamal, Morio, Jérôme   +4 more
core   +1 more source

A Review of Remaining Useful Life Prediction for Energy Storage Components Based on Stochastic Filtering Methods

Energies, 2023
Lithium-ion batteries are a green and environmental energy storage component, which have become the first choice for energy storage due to their high energy density and good cycling performance.
Liyuan Shao, Yong Zhang, Xiujuan Zheng, Xin He, Yufeng Zheng, Zhiwei Liu   +5 more
doaj   +1 more source

Smooth particle filter‐based likelihood approximations for remaining useful life prediction of Lithium‐ion batteries

IET Smart Grid, 2021
Accurate prediction of the remaining useful life (RUL) in Lithium‐ion batteries (LiBs) is a key aspect of managing its health, in order to promote reliable and secure systems, and to reduce the need for unscheduled maintenance and costs.
Mo'ath El‐Dalahmeh, Maher Al‐Greer, Ma'd El‐Dalahmeh, Michael Short   +3 more
doaj   +1 more source

A New Model for Remaining Useful Life Prediction Based on NICE and TCN-BiLSTM under Missing Data

Machines, 2022
The Remaining Useful Life (RUL) prediction of engineering equipment is bound to face the situation of missing data. The existing methods of RUL prediction for such cases mainly take “data generation—RUL prediction” as the basic idea but are often limited
Jianfei Zheng, Bowei Zhang, Jing Ma, Qingchao Zhang, Lihao Yang   +4 more
doaj   +1 more source

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

, 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
core   +1 more source

A Bayesian Optimization AdaBN-DCNN Method With Self-Optimized Structure and Hyperparameters for Domain Adaptation Remaining Useful Life Prediction

IEEE Access, 2020
The prediction of remaining useful life (RUL) of mechanical equipment provides a timely understanding of the equipment degradation and is critical for predictive maintenance of the equipment.
Jialin Li, David He
doaj   +1 more source

Mar-RUL : a remaining useful life prediction approach for fault prognostics of marine machinery [PDF]

, 2023
Although the maritime industry has the potential to lead smart maintenance methodologies, current maintenance routines within the sector focus on either reactive or preventive maintenance approaches; approaches which are increasingly conservative and ...
Velasco-Gallego, Christian, Lazakis, Iraklis   +1 more
core   +2 more sources