Monitoring gears by vibration measurements: Lempel-Ziv complexity and Approximate Entropy as diagnostic tools
Unexpected failures of industrial gearboxes may cause significant economic losses. It is therefore important to detect early fault symptoms. This paper introduces signal processing methods based on approximate entropy (ApEn) and Lempel-Ziv Complexity (LZC) for defect detection of gears. Both methods...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2015-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | http://dx.doi.org/10.1051/matecconf/20152007001 |