Enhancement Of Fault Diagnosis In Mechanical Systems Using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Enhancement Of Fault Diagnosis In Mechanical Systems Using Deep Learning Techniques

Published:2023-09-14 Issue: Volume:16 Page:1608-1613
ISSN:
Container-title:2023 6th International Conference on Contemporary Computing and Informatics (IC3I)
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Author:

Sharma Kamal¹,Chirade Sagar²,Patil Pravin P³,Laxminarayanamma K⁴,Rana Ajay⁵,Sankhyan Akhil⁶

Affiliation:

1. Institute of Engineering and Technology, GLA University,Department of Mechanical Engineering,Mathura

2. Indira College of Engineering and Management,Department of Mechanical Engineering,Pune

3. Graphic Era Deemed to be University,Department of Mechanical Engineering,Dehradun

4. Institute of Aeronautical Engineering,Dept of Information Technology,Hyderabad

5. Amity University,Greater Noida,Uttar Pradesh,India

6. Lloyd Law College,Greater Noida,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10397581/10397594/10397765.pdf?arnumber=10397765

Reference20 articles.

1. Local fault detection in helical gears via vibration and acoustic signals using EMD based statistical parameter analysis

2. Theoretical and experimental analysis of bispectrum of vibration signals for fault diagnosis of gears

3. Gear fault diagnosis using active noise cancellation and adaptive wavelet transform

4. Deep learning-based fault diagnosis for mechanical systems: A survey;Chen;IEEE Transactions on Industrial Informatics,2020

5. Deep learning-based fault diagnosis of rotating machinery using time-frequency image and convolutional neural network;Li;Mechanical Systems and Signal Processing,2018

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