Back to search

Article

Rolling bearing fault detection of rotary machine using a novel adaptive sparse representation

2024-03-11

Abstract excerpt

<title>Abstract</title> <p>Vibration signals of rolling bearings are often flooded by the noise and interference in early stages of failure. But extracting fault features from noisy signals effectively is a huge challenge. Sparse representation (SR)-based approaches have been used broadly to fault detection due to its stable performance and good anti-noise property. Nevertheless, its performance is very much dict...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a824bb31-3869-560f-822c-722d6111b878
DOI
10.21203/rs.3.rs-3565238/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Rolling bearing fault detection of rotary machine using a novel adaptive sparse representationDOI 10.21203/rs.3.rs-3565238/v1
Select a neighboring publication to make it the new centre.