Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions

Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions

Rotational machines under variable speed conditions often confront challenges to diagnose various component faults as an existing problem with less exploration of sound signals in this subject area. This premise motivates the paper to contribute the prodigious sound signal features to the vibration-...

Full description

Saved in:
Bibliographic Details
Main Authors: S. Sowmya, M. Saimurugan, Naveen Venkatesh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
machine learning
multi-component
soundsignals
vibration signals
variable speed condition monitoring
Online Access:https://ieeexplore.ieee.org/document/11077138/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11077138/

Similar Items