A comparative study of the effectiveness of vibration and acoustic emission in diagnosing a defective bearing in a planetary gearbox

Journal article


Elasha, F, Greaves, M, Mba, D and Duan, F (2016). A comparative study of the effectiveness of vibration and acoustic emission in diagnosing a defective bearing in a planetary gearbox. Applied Acoustics. 115, pp. 181-195.
AuthorsElasha, F, Greaves, M, Mba, D and Duan, F
Abstract

Whilst vibration analysis of planetary gearbox faults is relatively well established, the application of Acoustic Emission (AE) to this field is still in its infancy. For planetary-type gearboxes it is more challenging to diagnose bearing faults due to the dynamically changing transmission paths which contribute to masking the vibration signature of interest. The present study is aimed to reduce the effect of background noise whilst extracting the fault feature from AE and vibration signatures. This has been achived through developing of internal AE sensor for helicopter transmission system. In addition, series of signal processing procedure has been developed to improved detection of incipient damage. Three signal processing techniques including an adaptive filter, spectral kurtosis and envelope analysis, were applied to AE and vibration data acquired from a simplified planetary gearbox test rig with a seeded bearing defect. The results show that AE identified the defect earlier than vibration analysis irrespective of the tortuous transmission path.

Keywordsplanetary gearbox; Acoustic Emission; vibration analysis; numerous diagnostic approaches
Year2016
JournalApplied Acoustics
Journal citation115, pp. 181-195
PublisherElsevier
ISSN1872-910X
Digital Object Identifier (DOI)doi:10.1016/j.apacoust.2016.07.026
FunderEuropean Aviation Safety Agency
Publication dates
Print13 Sep 2016
Publication process dates
Deposited12 Aug 2016
Accepted27 Jul 2016
Accepted author manuscript
License
CC BY-NC-ND 4.0
Permalink -

https://openresearch.lsbu.ac.uk/item/87242

  • 12
    total views
  • 44
    total downloads
  • 3
    views this month
  • 5
    downloads this month

Related outputs

Identification of Fatigue Damage Evaluation using Entropy of Acoustic Emission Waveform
Santo, F., Sattar, T., Mba, D. and Edwards, G. (2019). Identification of Fatigue Damage Evaluation using Entropy of Acoustic Emission Waveform. SN Applied Sciences.
An analysis of civil aviation industry safety needs for the introduction of liquid hydrogen propulsion technology
Benson, CM, Ingram, JM, Battersby, PA, Mba, D, Sethi, V and Rolt, AM (2019). An analysis of civil aviation industry safety needs for the introduction of liquid hydrogen propulsion technology. TURBO EXPO Turbomachinery Technical Conference & Exposition. Phoenix AZ, USA 18 - 20 Jun 2019
A comparative study of adaptive filters in detecting a naturally degraded bearing within a gearbox
Elasha, F, Mba, D and Ruiz-Carcel, C (2016). A comparative study of adaptive filters in detecting a naturally degraded bearing within a gearbox. Case Studies in Mechanical Systems and Signal Processing. 3, pp. 1-8.
A study on helicopter main gearbox planetary bearing fault diagnosis
Zhou, L, Duan, F, Corsar, M, Elasha, F and Mba, D (2017). A study on helicopter main gearbox planetary bearing fault diagnosis. Applied Acoustics.
Bearing signal separation of commercial helicopter main gearbox
Elasha, F, Greaves, M and Mba, D (2016). Bearing signal separation of commercial helicopter main gearbox. Procedia CIRP. 59, pp. 111-115.
A hybrid prognostic methodology for tidal turbine gearboxes
Elasha, F, Mba, D, Togneri, M, Masters, I and Teixeira, JA (2017). A hybrid prognostic methodology for tidal turbine gearboxes. Renewable Energy. 114, pp. 1051-1061.
Canonical variable analysis and long short-term memory for fault diagnosis and performance estimation of a centrifugal compressor
Li, X, Duan, F, Loukopoulos, P, Bennett, I and Mba, D (2018). Canonical variable analysis and long short-term memory for fault diagnosis and performance estimation of a centrifugal compressor. Control Engineering Practice. 72, pp. 177-191.
Canonical Variable Analysis for Fault Detection, System Identification and Performance Estimation
Duan, F, Xiaochuan, L, Tariq, S, Ian, B and David, M (2017). Canonical Variable Analysis for Fault Detection, System Identification and Performance Estimation. Lecture Notes in Mechanical Engineering. 3, pp. 247-257.
Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms
Duan, F and Zivanovic, R (2013). Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms. 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED). Valencia 27 - 30 Aug 2013 London; Taylor & Francis. doi:10.1080/15325008.2015.1089336
Identification of fatigue damage evolution in 316L stainless steel using Acoustic Emission and Digital Image Correlation
Tanvir, F, Sattar, TP, Mba, D, Edwards, G, Eren, E and Lage, Y (2018). Identification of fatigue damage evolution in 316L stainless steel using Acoustic Emission and Digital Image Correlation. MATEC Web of Conference. Poitiers Futuroscope, France 27 May - 01 Jun 2018 London South Bank University. doi:10.1051/matecconf/201816522007
Dealing with missing data for prognostic purposes
Loukopoulos, P, Sampath, S, Pilidis, P, Zolkiewski, G, Bennett, I, Duan, F and Mba, D (2016). Dealing with missing data for prognostic purposes. Prognostics and System Health Management Conference. Chengdu, China 19 - 21 Oct 2016 London South Bank University. doi:10.1109/PHM.2016.7819934
Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements
Loukopoulos, P, Zolkiewski, G, Bennet, I, Sampath, S, Pilidis, P, Duan, F, Sattar, TP and Mba, D (2017). Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements. Applied Acoustics.
Combining Canonical Variate Analysis, Probability Approach and Support Vector Regression for Failure Time Prediction
Xiaochuan, L, Duan, F, Bennett, I and Mba, D (2017). Combining Canonical Variate Analysis, Probability Approach and Support Vector Regression for Failure Time Prediction. 2017 International Conference on Sensing, Diagnostics, Prognostics and Control. Shangai, China 16 - 18 Aug 2017 London South Bank University.
Using empirical mode decomposition scheme for helicopter main gearbox bearing defect identification
Duan, F, Corsar, M and Mba, D (2016). Using empirical mode decomposition scheme for helicopter main gearbox bearing defect identification. Prognostics and System Health Management Conference (PHM-Chengdu), 2016. Chengdu, China 19 - 21 Oct 2016 London South Bank University. doi:10.1109/PHM.2016.7819829
Using independent component analysis scheme for helicopter main gearbox bearing defect identification
Duan, F, Corsar, M, Zhou, L and Mba, D (2017). Using independent component analysis scheme for helicopter main gearbox bearing defect identification. 2017 IEEE International Conference on Prognostics and Health Management (ICPHM). Texas, USA 19 - 21 Jun 2017 London South Bank University. pp. 252-259 doi:10.1109/ICPHM.2017.7998337
Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms
Duan, F and Živanović, R (2016). Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms. Electric Power Components and Systems. 44 (10).
Rotating machine prognostics using system-level models
Li, X, Duan, F, Mba, D and Bennett, I (2016). Rotating machine prognostics using system-level models. 2016 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) 2016 World Congress on Engineering Asset Management (WCEAM 2016). Jiuzhaigou, Sichuan, China 25 - 28 Jul 2016 London South Bank University.
Multidimensional prognostics for rotating machinery: A review
Li, X, Duan, F, Mba, D and Bennett, I (2017). Multidimensional prognostics for rotating machinery: A review. Advances in Mechanical Engineering. 9 (2).
A comparative study of helicopter planetary bearing diagnosis with vibration and acoustic emission data
Zhou, L, Duan, F, Mba, D and Faris, E (2017). A comparative study of helicopter planetary bearing diagnosis with vibration and acoustic emission data. 2017 IEEE International Conference on Prognostics and Health Management (ICPHM). Dallas, TX, USA 19 - 21 Jun 2017 London South Bank University. pp. 246-251 doi:10.1109/ICPHM.2017.7998336
Helicopter gearbox bearing fault detection using separation techniques and envelope analysis
Zhou, L, Duan, F, Mba, D, Corsar, M, Greaves, M, Sampath, S and Elasha, F (2016). Helicopter gearbox bearing fault detection using separation techniques and envelope analysis. Prognostics and System Health Management Conference (PHM-Chengdu), 2016. Chengdu, China 19 - 21 Oct 2016 London South Bank University. doi:10.1109/PHM.2016.7819888
Wireless Acoustic Emission Transmission System Designed for Fault Detection of Rotating Machine
Zhou, L, Duan, F and Mba, D (2016). Wireless Acoustic Emission Transmission System Designed for Fault Detection of Rotating Machine. Lecture Notes in Networks and Systems. 4, pp. 201-207.
Reciprocating compressor prognostics
Loukopoulos, P, Sampath, S, Plidis, P, Zolkiewski, G, Bennett, I, Duan, F, Sattar, TP and Mba, D (2017). Reciprocating compressor prognostics. CMSM 2017 7th International Congress Design and Modelling of Mechanical Systems. Hammamet, Tunisia 27 - 29 Mar 2017 London South Bank University.
Helicopter Main Gearbox Bearing Defect Identification using Vibration and Acoustic Emission Techniques
Duan, F, Elasha, F, Greaves, M and Mba, D (2016). Helicopter Main Gearbox Bearing Defect Identification using Vibration and Acoustic Emission Techniques. P2016 IEEE International Conference on Prognostics and Health Management (ICPHM). Carleton University Ottawa, ON, Canada 20 - 22 Jun 2016 IEEE. doi:https://doi.org/10.1109/ICPHM.2016.7542856
Low Speed Bearing Condition Monitoring – A Case Study
Duan, F, Nze, I and Mba, D (2016). Low Speed Bearing Condition Monitoring – A Case Study. Proceedings of 2016 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) and 2016 World Congress on Engineering Asset Management (WCEAM2016). Jiuzhaigou, Sichuan, China 25 - 28 Jul 2016 London South Bank University.
Canonical Variate Analysis for Performance Degradation under Faulty Conditions
Ruiz-Carcel, C, Lao, L, Cao, Y and Mba, D (2016). Canonical Variate Analysis for Performance Degradation under Faulty Conditions. Control Engineering Practice. 54, pp. 70-80.
Feasibility study on using thioether as an emergency backup lubrication system on a large helicopter main gearbox
Duan, F, Tee, S, Corsar, M, Healey, A, Kleine-Beek, W and Mba, D (2016). Feasibility study on using thioether as an emergency backup lubrication system on a large helicopter main gearbox. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.
Helicopter Main Gearbox Bearing Defect Identification with Acoustic Emission Techniques
Duan, F, Elasha, F, Mba, D and Bennett, I (2016). Helicopter Main Gearbox Bearing Defect Identification with Acoustic Emission Techniques. IEEE International Conference on Prognostics and Health Management. Ottawa, Canada 20 - 22 Jun 2016 London South Bank University.
Induction Motor Parameter Estimation Using Sparse Grid Optimization Algorithm
Duan, F, Zivanovic, R, Al-Sarawi, S and Mba, D (2016). Induction Motor Parameter Estimation Using Sparse Grid Optimization Algorithm. IEEE Transactions on Industrial Informatics. PP (99).
A comparative study of adaptive filters and linear prediction in detecting a naturally degraded bearing within a gearbox; Case Studies in Mechanical Systems and Signal Processing
Elasha, F, Mba, D and Ruiz-Carcel, C (2015). A comparative study of adaptive filters and linear prediction in detecting a naturally degraded bearing within a gearbox; Case Studies in Mechanical Systems and Signal Processing. Case Studies in Mechanical Systems and Signal Processing. 3 (June), pp. 1-8.
Fire suppression systems in aircraft: Their past, present & future
Benson, CM, Fernandez-Cerezo, G, Holborn, PG and Mba, D (2016). Fire suppression systems in aircraft: Their past, present & future. Fire Investigation. 1 (3), pp. 34-41.
Challenges for the development of EFFICIENT - An Environmentally Friendly Fire Suppression System for Cargo using Innovative Green Technology
Fernandez-Cerezo, G, Benson, CM, Holborn, PG and Mba, D (2016). Challenges for the development of EFFICIENT - An Environmentally Friendly Fire Suppression System for Cargo using Innovative Green Technology. Institute of Fire Engineers RE16. Birmingham Nov 2016 London South Bank University.