Comparative study of machine learning and deep learning techniques for fault diagnosis in suspension system
- 23 March 2023
- journal article
- research article
- Published by Springer Nature in Journal of the Brazilian Society of Mechanical Sciences and Engineering
- Vol. 45 (4) , 1-17
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Vibration based Condition Monitoring of a Brake System using Statistical Features with Logit Boost and Simple Logistic Algorithm2018
- ImageNet classification with deep convolutional neural networksCommunications of the ACM, 2017
- Deep Residual Learning for Image Recognition2016
- Going deeper with convolutions2015
- Vibration Based Fault Diagnosis of Automobile Gearbox Using Soft Computing Techniques2014
- Misfire detection in an IC engine using vibration signal and decision tree algorithmsMeasurement, 2014
- Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearingMechanical Systems and Signal Processing, 2007
- Support vector machines-based fault diagnosis for turbo-pump rotorMechanical Systems and Signal Processing, 2006
- Condition Monitoring and Fault Diagnosis of Electrical Motors—A ReviewIEEE Transactions on Energy Conversion, 2005
- A Sensor and Process Fault Detection System for Vehicle Suspension SystemsSAE International Journal of Advances and Current Practices in Mobility, 2002