A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance-Reference-Cited by-同舟云学术

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A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance

Published:2024-09 Issue: Volume:177 Page:106590
ISSN:0925-7535
Container-title:Safety Science
language:en
Short-container-title:Safety Science

Author:

Gupta Suraj^ORCID,Kumar Akhilesh^ORCID,Maiti Jhareswar

Publisher

Elsevier BV

Reference317 articles.

1. A review of uncertainty quantification in deep learning: techniques, applications and challenges;Abdar;Information Fusion,2021

2. Rolling bearing fault diagnosis based on an improved denoising method using the complete ensemble empirical mode decomposition and the optimized thresholding operation;Abdelkader;IEEE Sens. J.,2018

3. State-of-the-art in artificial neural network applications: a survey;Abiodun;Heliyon,2018

4. Effect of data scaling methods on machine learning algorithms and model performance;Ahsan;Technologies,2021

5. Degradation curves integration in physics-based models: Towards the predictive maintenance of industrial robots;Aivaliotis;Rob. Comput. Integr. Manuf.,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Early Fault Detection in Paper Machine Motors Using Machine Learning;International Journal of Engineering Insights;2024-05-16

2. Health States Estimation and Prediction of Failure Occurrence Time of Rolling Element Bearing Using Hidden Markov Model;Lecture Notes in Networks and Systems;2024

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