Sensor Fault Detection using Machine Learning Technique for Automobile Drive Applications-Reference-Cited by-同舟云学术

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Sensor Fault Detection using Machine Learning Technique for Automobile Drive Applications

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 National Power Electronics Conference (NPEC)
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Author:

Argawal Ritik¹,Kalel Dattatraya¹,Harshit M.²,Domnic Arun D³,Singh R. Raja¹

Affiliation:

1. Vellore Institute of Technology, (VIT Vellore),School of Electrical Engineering,Tamil Nadu,India

2. Indian Institute of Technology, (IIT Roorkee),HMV Drives Private Limited,Uttrakhand,India

3. National Institute of Technology (NIT Surathkal),Dept. of Electrical and Electronics Engineering,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9672321/9672454/09672546.pdf?arnumber=9672546

Reference18 articles.

1. Fault diagnosis in electric drives using machine learning approaches

2. Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive

3. Sensor Fault detection and fault tolerant control of induction motor drivers for electric vehicles

4. SPEED SENSOR FAULTS DIAGNOSIS IN AN INDUCTION MOTOR VECTOR CONTROLLED DRIVE

5. Sensorless Start-Up Control for BLDC Motor using Initial Position Detection Technique

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1. Fault Detection in Electric Drives Based on LSTM Autoencoder Model Machine Learning Approach;2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM);2024-06-28

2. A Data-driven Approach for Enhanced On-Board Fault Diagnosis to Support Euro 7 Standard Implementation;SAE Technical Paper Series;2024-04-09

3. IoT integrated adaptive fault tolerant control for induction motor based critical load applications;Engineering Science and Technology, an International Journal;2024-03

4. Fault and Location Detection in Planar Antenna Array Using Tuned Stacking Ensemble Machine Learning Approach;Wireless Personal Communications;2024-02

5. Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends;IEEE Open Journal of Industry Applications;2023

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