Special Issue “Advances in Machine Learning and Deep Learning Based Machine Fault Diagnosis and Prognosis”-Reference-Cited by-同舟云学术

Special Issue “Advances in Machine Learning and Deep Learning Based Machine Fault Diagnosis and Prognosis”

Published:2021-03-17 Issue:3 Volume:9 Page:532
ISSN:2227-9717
Container-title:Processes
language:en
Short-container-title:Processes

Author:

Djeziri Mohand^ORCID,Bendahan Marc

Abstract

Fault diagnosis and failure prognosis aim to reduce downtime of the systems and to optimise their performance by replacing preventive and corrective maintenance strategies with predictive or conditional ones [...]

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Link

https://www.mdpi.com/2227-9717/9/3/532/pdf

Reference12 articles.

1. A Wavelet Transform-Assisted Convolutional Neural Network Multi-Model Framework for Monitoring Large-Scale Fluorochemical Engineering Processes

2. Motor Fault Detection Using Wavelet Transform and Improved PSO-BP Neural Network

3. Establish Induction Motor Fault Diagnosis System Based on Feature Selection Approaches with MRA

4. Degradation Status Recognition of Axial Piston Pumps under Variable Conditions Based on Improved Information Entropy and Gaussian Mixture Models

5. Research on State Recognition and Failure Prediction of Axial Piston Pump Based on Performance Degradation Data

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1. Advanced modeling techniques using hierarchical gaussian process regression in civil engineering;Asian Journal of Civil Engineering;2024-08-06

2. Simulation of Hierarchical Fault Diagnosis Model for Aircraft Electromechanical Systems Based on Machine Learning Algorithms;2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC);2023-09-25