Work

Wavelet Envelope Spectrum Analysis on Acoustic Emission Signals of Rolling Bearing Fault

Year: 2008

Type: article

Abstract: The high-frequency characteristic of acoustic emission signal is used to collect the information of rolling bearing fault.The signal is analyzed in different frequency bands separated by the wavelet analysis.The separated signal can be reconstructed to eliminate signal noise,and wavelet envelope spectrum method is adopted to detect fault information.The result prove that wavelet envelope spectrum method is able to detect rolling bearing fault efficiently,and it is a valid methods of incipient failure detection.

Source: Bearing Jurnal Penelitian dan Kajian Teknik Sipil

Author: Baojia Chen

Institution: China Three Gorges University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2360193487

FWCI: 1.037

Cites:

Cited by: 5

Related to: 10