Fault Prediction Using Fuzzy Convolution Neural Network on IoT Environment with Heterogeneous Sensing Data Fusion
Authors
N. Manicka Senthamarai1, *, M. Kaarthika2, A. A. Kafeel Ahamed2, M. Keshore2
1Assistant Professor/Department of Computer Science and Engineering, Vellalar College of Engineering and Technology, Erode, Tamil Nadu, India
2Student, Department of Computer Science and Engineering, Vellalar College of Engineering and Technology, Erode, Tamil Nadu, India
*Corresponding author.
Email: manickasenthamarai@gmail.com
Corresponding Author
N. Manicka Senthamarai
Available Online 23 May 2025.
- DOI
- 10.2991/978-94-6463-718-2_53How to use a DOI?
- Keywords
- Machine Learning; Performance Evaluation; Reliability; Fault Bearings
- Abstract
The data was subsequently used to develop a non-contact vibration pickup from the rotating machinery, within a specified load and speed conditions, and thus ensure timely detection of bearing defects. The collected vibration data was denoised through the Hilbert transform. Dimensionality reduction was performed using Principal Component Analysis (PCA), followed by a sequential floating forward selection (SFFS) process to identify the most relevant features. SVM and ANN were used for detecting and classifying different bearing faults using selected features. This colonial way of functioning not only reduces the time and effort involved in piping maintenance, but in the long run, also saves a considerable amount of finances too.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - N. Manicka Senthamarai AU - M. Kaarthika AU - A. A. Kafeel Ahamed AU - M. Keshore PY - 2025 DA - 2025/05/23 TI - Fault Prediction Using Fuzzy Convolution Neural Network on IoT Environment with Heterogeneous Sensing Data Fusion BT - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) PB - Atlantis Press SP - 612 EP - 620 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-718-2_53 DO - 10.2991/978-94-6463-718-2_53 ID - Senthamarai2025 ER -