Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines
Vibration analysis is commonly used to provide valuable insights into the condition of a machine, which is crucial for ensuring reliability and reducing maintenance costs. However, analysis of vibration signals using artificial neural network (ANN) is mostly via development of classification models...
Saved in:
Main Authors: | Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun |
---|---|
Format: | Article |
Language: | English |
Published: |
College of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria
2025-01-01
|
Series: | ABUAD Journal of Engineering Research and Development |
Subjects: | |
Online Access: | https://journals.abuad.edu.ng/index.php/ajerd/article/view/949 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fault diagnosis and auto dispatchin of power communication network based on unsupervised clustering and frequent subgraph mining
by: Jihua WU, et al.
Published: (2021-11-01) -
Mining characteristic clusters:a density estimation approach
by: Yi HAN, et al.
Published: (2012-05-01) -
Clustering algorithm preserving differential privacy in the framework of Spark
by: Zhi-qiang GAO, et al.
Published: (2016-11-01) -
Maintenance Analysis Method Based on Big Data Processing Technology in Power Telecommunication Network
by: Zhimin Yang, et al.
Published: (2015-11-01) -
Graph clustering method based on structure entropy constraints
by: Zhiying ZHANG, et al.
Published: (2021-12-01)