2007
DOI: 10.1016/j.ymssp.2005.09.002
|View full text |Cite
|
Sign up to set email alerts
|

A study of hydraulic seal integrity

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
27
0

Year Published

2010
2010
2022
2022

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 27 publications
(29 citation statements)
references
References 13 publications
0
27
0
Order By: Relevance
“…Chen et al evaluated the various parameters of AE signals in terms of their capability of estimating the internal leakage rate of a water hydraulic cylinder. They have shown the RMS value was more suitable to interpret AE signals generated by internal leakage [36]. Kaewwaewnoi et al also found the relationship between the AErms and the parameters such as inlet pressure levels, valve sizes, and valve types.…”
Section: The Processing Methods Of Ae Signalmentioning
confidence: 99%
“…Chen et al evaluated the various parameters of AE signals in terms of their capability of estimating the internal leakage rate of a water hydraulic cylinder. They have shown the RMS value was more suitable to interpret AE signals generated by internal leakage [36]. Kaewwaewnoi et al also found the relationship between the AErms and the parameters such as inlet pressure levels, valve sizes, and valve types.…”
Section: The Processing Methods Of Ae Signalmentioning
confidence: 99%
“…Several researches [14,15] found that AE energy and various leakage parameters had a good correlation.…”
Section: Mathematical Modelmentioning
confidence: 99%
“…Studying just one hole size, the RMS of leak signals has also been shown to effectively describe leak flow rate in plastic water pipe by Butterfield et al 2 and in gas pipes by Chen et al 7 EMD-based decomposition was used by Sun et al 5 in combination with the signal RMS to classify the aperture of leaks in gas pipes, finding that the RMS of individual IMFs, produced from EMD provided good separation between circular holes in gas pipes of different diameters. RMS features can be used to characterise continuous vibration signals, with the RMS value representing the energy of the signal at that point in time 5 and could therefore be a good feature in predicting leak flow rates.…”
Section: Feature Extraction Of Leak Signalsmentioning
confidence: 99%