Results 21 to 30 of about 419,717 (299)
Remaining useful tool life predictions in turning using Bayesian inference [PDF]
International Journal of Prognostics and Health Management, 2013 Tool wear is an important factor in determining machining productivity. In this paper, tool wear is characterized by remaining useful tool life in a turning operation and is predicted using spindle power and a random sample path method of Bayesian ...
Jaydeep M. Karandikar +2 more
doaj +1 more source
Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information
Machines, 2022 Since the fault information of an aero-engine is very important for the remaining useful life of an aero-engine, the paper proposes to combine the fault information for the remaining useful life prediction of an aero-engine.
Chao Wang, Zhangming Peng, Rong Liu
doaj +1 more source
Remaining-Useful-Life Prediction for Li-Ion Batteries
Energies, 2023 This paper aims to establish a predictive model for battery lifetime using data analysis. The procedure of model establishment is illustrated in detail, including the data pre-processing, modeling, and prediction.
Yeong-Hwa Chang +3 more
doaj +1 more source
Uncertainty-aware Remaining Useful Life predictor
CoRR, 2021 Remaining Useful Life (RUL) estimation is the problem of inferring how long a certain industrial asset can be expected to operate within its defined specifications. Deploying successful RUL prediction methods in real-life applications is a prerequisite for the design of intelligent maintenance strategies with the potential of drastically reducing ...
Luca Biggio +4 more
openaire +2 more sources
Data-driven remaining useful life prediction based on domain adaptation [PDF]
PeerJ Computer Science, 2021 As an important part of prognostics and health management, remaining useful life (RUL) prediction can provide users and managers with system life information and improve the reliability of maintenance systems.
Bin cheng Wen +5 more
doaj +2 more sources
Interaction models for remaining useful life estimation
CoRR, 2023 submitted to Journal of Industrial Information ...
Dmitry Zhevnenko +2 more
openaire +2 more sources
Solid-State Lithium Battery Cycle Life Prediction Using Machine Learning
Applied Sciences, 2021 Battery lifetime prediction is a promising direction for the development of next-generation smart energy storage systems. However, complicated degradation mechanisms, different assembly processes, and various operation conditions of the batteries bring ...
Danpeng Cheng +9 more
doaj +1 more source
, 2021 Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021).
Jia-Xiang Cheng
core +1 more source
RUL-RVE: Interpretable assessment of Remaining Useful Life
Software Impacts, 2022 This work has been partially supported by the Ministry of Economy, Industry and Competitiveness (“Ministerio de Economía, Industria Competitividad”) from Spain /FEDER under grant PID2020-112726-RB-I00 and by Principado de Asturias, grant SV-PA-21-AYUD/2021/50994.
Nahuel Costa, Luciano Sánchez
openaire +2 more sources
jiaxiang-cheng/cnn-pytorch-remaining-useful-life-prediction: RUL Prediction with CNN
, 2021 Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp.
Jia-Xiang Cheng
core +1 more source