Results 21 to 30 of about 18,585 (221)
Probabilistic Monte-Carlo method for modelling and prediction of electronics component life [PDF]
, 2014 Power electronics are widely used in electric vehicles, railway locomotive and new generation aircrafts. Reliability of these components directly affect the reliability and performance of these vehicular platforms.
Alghassi, Ali +3 more
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Predictive Maintenance on the Machining Process and Machine Tool [PDF]
, 2019 This paper presents the process required to implement a data driven Predictive Maintenance (PdM) not only in the machine decision making, but also in data acquisition and processing.
Box +13 more
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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
Energy Reports, 2021 Lithium-ion batteries have been widely used for energy storage systems and vehicle industries, highly accurate remaining useful life (RUL) prediction of lithium-ion batteries is one of the key technologies on prognostics and health management.
Meng Wei +5 more
doaj +1 more source
A Lithium-ion Battery RUL Prediction Method Considering the Capacity Regeneration Phenomenon
Energies, 2019 Prediction of Remaining Useful Life (RUL) of lithium-ion batteries plays a significant role in battery health management. Battery capacity is often chosen as the Health Indicator (HI) in research on lithium-ion battery RUL prediction. In the rest time of
Xiaoqiong Pang +5 more
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 +4 more
core +2 more sources
Segmental Degradation RUL Prediction of IGBT Based on Combinatorial Prediction Algorithms
IEEE Access, 2022 Aiming at the segmentation nonlinear degradation characteristics of IGBT, the traditional single remaining useful lifetime (RUL) method has low accuracy. This paper proposes a method combining gray prediction and particle filter algorithm. The gray prediction model is used for slow degradation trends prediction in the early stage.
Linghui Meng 0002 +2 more
openaire +2 more sources
Supporting group maintenance through prognostics-enhanced dynamic dependability prediction [PDF]
, 2017 Condition-based maintenance strategies adapt maintenance planning through the integration of online condition monitoring of assets. The accuracy and cost-effectiveness of these strategies can be improved by integrating prognostics predictions and ...
Aizpurua, J. I. +9 more
core +1 more source
Degradation Prediction Model Based on a Neural Network with Dynamic Windows
Sensors, 2015 Tracking degradation of mechanical components is very critical for effective maintenance decision making. Remaining useful life (RUL) estimation is a widely used form of degradation prediction.
Xinghui Zhang, Lei Xiao, Jianshe Kang
doaj +1 more source
Machines, 2022 A sensible maintenance strategy must take into account the remaining usable life (RUL) estimation to maximize equipment utilization and avoid costly unexpected breakdowns.
Feiyue Deng +5 more
doaj +1 more source