Remaining Useful Life (RUL) Estimation of Lead Acid Battery using Bayesian Approach
Journal of Electrical Engineering and Automation, 2020 This article deals with Remaining Useful Life (RUL) estimation of Lead Acid Battery using a probabilistic approach which is Bayesian inference of Linear Regression. RUL estimation of lead acid battery plays a very crucial role as it can prevent the catastrophic failure for the system in which it is used to serve as a power supply mainly in automobiles.
Bhalaji N., Rimi Chowdhury
openaire +2 more sources
A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification [PDF]
SensorsRemaining Useful Life (RUL) prediction is a crucial task in predictive maintenance. Currently, gated recurrent networks, hybrid models, and attention-enhanced models used for predictive maintenance face the challenge of balancing prediction accuracy and ...
Lilu Wang +3 more
doaj +2 more sources
Correction: Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model. [PDF]
PLoS One, 2021 Ghomghaleh A +6 more
europepmc +3 more sources
A Novel Multimodal RUL Framework for Remaining Useful Life Estimation with Layer-wise Explanations [PDF]
Estimating the Remaining Useful Life (RUL) of mechanical systems is pivotal in Prognostics and Health Management (PHM). Rolling-element bearings are among the most frequent causes of machinery failure, highlighting the need for robust RUL estimation methods.
Razzaq, Waleed, Zhao, Yun-Bo
+5 more sources
Tool wear mechanism, monitoring and remaining useful life (RUL) technology based on big data: a review [PDF]
SN Applied Sciences, 2022 Article highlights The research hotspots and shortcomings of tool wear mechanism, online monitoring and residual life prediction are comprehensively summarized.
Yang Zhou +4 more
doaj +2 more sources
Prediction of Remaining Useful Life (RUL) of Lithium ion (Li-ion) Batteries [PDF]
, 2020 In recent time Li-ion battery gained popularity because of their high charge density, portability and longer life span. It compliments the human quest for green energy. As many of the green energy applications like Electrical Vehicle, Wind Energy and Solar Energy use Li-ion battery as their energy storage device.
Rashmikant T. Shukla
openaire +2 more sources
A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment [PDF]
SensorsIn the contemporary big data era, data-driven prognostic and health management (PHM) methodologies have emerged as indispensable tools for ensuring the secure and reliable operation of complex equipment systems.
Weihao Li +9 more
doaj +2 more sources
Energy and AIAccurate 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 ...
Jaber Pournazari +6 more
doaj +2 more sources
A Real-Time Diagnostic System Using a Long Short-Term Memory Model with Signal Reshaping Technology for Ship Propellers [PDF]
SensorsThis study develops a ship propeller diagnostic system to address the issue of insufficient ship maintenance capacity and enhance operational efficiency.
Sheng-Chih Shen +4 more
doaj +2 more sources
BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction [PDF]
Prognostic and Health Management (PHM) are crucial ways to avoid unnecessary maintenance for Cyber-Physical Systems (CPS) and improve system reliability. Predicting the Remaining Useful Life (RUL) is one of the most challenging tasks for PHM. Existing methods require prior knowledge about the system, contrived assumptions, or temporal mining to model ...
Zekai Zhang +6 more
openaire +3 more sources