[HTML][HTML] A Review of Pump Cavitation Fault Detection Methods Based on Different Signals

X Liu, J Mou, X Xu, Z Qiu, B Dong - Processes, 2023 - mdpi.com
As one of the research hotspots in the field of pumps, cavitation detection plays an important
role in equipment maintenance and cost-saving. Based on this, this paper analyzes …

The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery

TH Loutas, D Roulias, E Pauly… - Mechanical systems and …, 2011 - Elsevier
The monitoring of progressive wear in gears using various non-destructive technologies as
well as the use of advanced signal processing techniques upon the acquired recordings to …

Leak detection of water distribution pipeline subject to failure of socket joint based on acoustic emission and pattern recognition

S Li, Y Song, G Zhou - Measurement, 2018 - Elsevier
Early leak detection is of great importance for life-cycle maintenance and management of
municipal pipeline system. Due to economic and technical efficiency, ductile iron pipe …

A review of acoustic emission technique for machinery condition monitoring: defects detection & diagnostic

SMA Al-Obaidi, MS Leong, RIR Hamzah… - Applied Mechanics …, 2012 - Trans Tech Publ
Acoustic emission (AE) measurements are one of many non-destructive testing methods
which had found applications in defects detection in machines. This paper reviews the state …

An intelligent system for grinding wheel condition monitoring based on machining sound and deep learning

CH Lee, JS Jwo, HY Hsieh, CS Lin - IEEE Access, 2020 - ieeexplore.ieee.org
Immediate monitoring of the conditions of the grinding wheel during the grinding process is
important because it directly affects the surface accuracy of the workpiece. Because the …

The application of spectral kurtosis on acoustic emission and vibrations from a defective bearing

B Eftekharnejad, MR Carrasco, B Charnley… - Mechanical Systems and …, 2011 - Elsevier
The application of Acoustic Emission (AE) technology for machine health monitoring is
gaining ground as power tool for health diagnostic of rolling element bearing. This paper …

[HTML][HTML] A novel machine learning-based methodology for tool wear prediction using acoustic emission signals

JL Ferrando Chacón, T Fernández de Barrena… - Sensors, 2021 - mdpi.com
There is an increasing trend in the industry of knowing in real-time the condition of their
assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to …

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

F Elasha, M Greaves, D Mba, D Fang - Applied Acoustics, 2017 - Elsevier
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 …

A novel approach for incipient defect detection in rolling bearings using acoustic emission technique

JLF Chacon, V Kappatos, W Balachandran, TH Gan - Applied Acoustics, 2015 - Elsevier
Bearings are critical components of rotating machinery and monitoring their condition is
important to avoid catastrophic failures and reduce the machinery down-time. Acoustic …

Automation of low-speed bearing fault diagnosis based on autocorrelation of time domain features

RP Nikula, K Karioja, M Pylvänäinen… - Mechanical Systems and …, 2020 - Elsevier
This study is focused on the application of automated techniques on low-speed bearing
diagnostics. The diagnosis in low-speed conditions is hampered by the long periods …