Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods
The monitoring of rolling element bearings through vibration-based condition indicators plays a crucial role in the modern machinery. The kurtosis is a very efficient indicator being sensitive to impulsive components within the vibration signature that often are symptomatic of localized faults. In o...
Saved in:
Main Authors: | Marco Buzzoni, Elia Soave, Gianluca D’Elia, Emiliano Mucchi, Giorgio Dalpiaz |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2018/5384358 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Minimum Entropy Deconvolution in the Rolling Element Bearing Fault Diagnosis
by: Leng Junfa, et al.
Published: (2015-01-01) -
IMPROVED TIME DOMAIN BLIND DECONVOLUTION ALGORITHM IN BEARING FAULT DIAGNOSIS
by: LIU Feng, et al.
Published: (2016-01-01) -
Applied aspects of modern non-blind image deconvolution methods
by: O.B. Chaganova, et al.
Published: (2024-08-01) -
A Fault Feature Extraction Method for Rolling Bearing Based on Intrinsic Time-Scale Decomposition and AR Minimum Entropy Deconvolution
by: Jiakai Ding, et al.
Published: (2021-01-01) -
ROLLING BEARING WEAK FAULT FEATURE EXTRACTION BASED ON MULTIPOINT OPTIMAL MINIMUM ENTROY DECONVOLUTION ADJUSTED AND ADAPTIVE STOCHASTIC RESONANCE WITH CUCKOO SEARCH
by: QUAN ZhenYa, et al.
Published: (2021-01-01)