Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod Seals

The foremost reason for unscheduled maintenance of hydraulic cylinders in industry is caused by wear of the hydraulic seals. Therefore, condition monitoring and subsequent estimation of remaining useful life (RUL) methods are highly sought after by the maintenance professionals. This study aimed at...

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Main Authors: Jørgen F. Pedersen, Rune Schlanbusch, Thomas J. J. Meyer, Leo W. Caspers, Vignesh V. Shanbhag
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/18/6012
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author Jørgen F. Pedersen
Rune Schlanbusch
Thomas J. J. Meyer
Leo W. Caspers
Vignesh V. Shanbhag
author_facet Jørgen F. Pedersen
Rune Schlanbusch
Thomas J. J. Meyer
Leo W. Caspers
Vignesh V. Shanbhag
author_sort Jørgen F. Pedersen
collection DOAJ
description The foremost reason for unscheduled maintenance of hydraulic cylinders in industry is caused by wear of the hydraulic seals. Therefore, condition monitoring and subsequent estimation of remaining useful life (RUL) methods are highly sought after by the maintenance professionals. This study aimed at investigating the use of acoustic emission (AE) sensors to identify the early stages of external leakage initiation in hydraulic cylinders through run to failure studies (RTF) in a test rig. In this study, the impact of sensor location and rod speeds on the AE signal were investigated using both time- and frequency-based features. Furthermore, a frequency domain analysis was conducted to investigate the power spectral density (PSD) of the AE signal. An accelerated leakage initiation process was performed by creating longitudinal scratches on the piston rod. In addition, the effect on the AE signal from pausing the test rig for a prolonged duration during the RTF tests was investigated. From the extracted features of the AE signal, the root mean square (RMS) feature was observed to be a potent condition indicator (CI) to understand the leakage initiation. In this study, the AE signal showed a large drop in the RMS value caused by the pause in the RTF test operations. However, the RMS value at leakage initiation is seen to be a promising CI because it appears to be linearly scalable to operational conditions such as pressure and speed, with good accuracy, for predicting the leakage threshold.
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spelling doaj.art-52eb9897b7eb4d5591fe260cb57318332023-11-22T15:10:14ZengMDPI AGSensors1424-82202021-09-012118601210.3390/s21186012Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod SealsJørgen F. Pedersen0Rune Schlanbusch1Thomas J. J. Meyer2Leo W. Caspers3Vignesh V. Shanbhag4Department of Engineering Sciences, University of Agder, Jon Lilletuns vei, 4879 Grimstad, NorwayNorwegian Research Centre, Technology Department, Jon Lilletuns vei 9 H, 3. et, 4879 Grimstad, NorwayNorwegian Research Centre, Technology Department, Jon Lilletuns vei 9 H, 3. et, 4879 Grimstad, NorwayBosch Rexroth B.V., Kruisbroeksestraat 1, 5281 RV Boxtel, The NetherlandsNorwegian Research Centre, Technology Department, Jon Lilletuns vei 9 H, 3. et, 4879 Grimstad, NorwayThe foremost reason for unscheduled maintenance of hydraulic cylinders in industry is caused by wear of the hydraulic seals. Therefore, condition monitoring and subsequent estimation of remaining useful life (RUL) methods are highly sought after by the maintenance professionals. This study aimed at investigating the use of acoustic emission (AE) sensors to identify the early stages of external leakage initiation in hydraulic cylinders through run to failure studies (RTF) in a test rig. In this study, the impact of sensor location and rod speeds on the AE signal were investigated using both time- and frequency-based features. Furthermore, a frequency domain analysis was conducted to investigate the power spectral density (PSD) of the AE signal. An accelerated leakage initiation process was performed by creating longitudinal scratches on the piston rod. In addition, the effect on the AE signal from pausing the test rig for a prolonged duration during the RTF tests was investigated. From the extracted features of the AE signal, the root mean square (RMS) feature was observed to be a potent condition indicator (CI) to understand the leakage initiation. In this study, the AE signal showed a large drop in the RMS value caused by the pause in the RTF test operations. However, the RMS value at leakage initiation is seen to be a promising CI because it appears to be linearly scalable to operational conditions such as pressure and speed, with good accuracy, for predicting the leakage threshold.https://www.mdpi.com/1424-8220/21/18/6012hydraulic cylinderacoustic emissionpiston rod sealroot mean squareremaining useful life
spellingShingle Jørgen F. Pedersen
Rune Schlanbusch
Thomas J. J. Meyer
Leo W. Caspers
Vignesh V. Shanbhag
Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod Seals
Sensors
hydraulic cylinder
acoustic emission
piston rod seal
root mean square
remaining useful life
title Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod Seals
title_full Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod Seals
title_fullStr Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod Seals
title_full_unstemmed Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod Seals
title_short Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod Seals
title_sort acoustic emission based condition monitoring and remaining useful life prediction of hydraulic cylinder rod seals
topic hydraulic cylinder
acoustic emission
piston rod seal
root mean square
remaining useful life
url https://www.mdpi.com/1424-8220/21/18/6012
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