Application of Acoustic Emission to Condition Monitoring of Rolling Element Bearings

Kaewkongka, Tonphong; Au, Yhj

doi:10.1177/002029400103400805

Cited by 9 publications

(2 citation statements)

References 2 publications

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“…However, vibration, thermography and acoustic monitoring are generally practiced as they reflect the status of the machine instantaneously. Researchers have used measurements of vibrations [5][6][7][7][8][9][10][11][12], acoustics [5,[13][14][15][16][17][18][19][20][21][22] and thermography [23][24][25] to estimate the gearbox condition. In contrast to the aforementioned variables, vibration is one of the features of modern mechanical machinery that is now continuously monitored in many significant applications.…”

Section: Acoustic As a Diagnostic Toolmentioning

confidence: 99%

Development of low-cost non-contact structural health monitoring system for rotating machinery

et al. 2018

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Condition monitoring systems are increasingly being employed in industrial applications to improve the availability of equipment to increase the overall equipment efficiency. Condition monitoring of gearboxes, a key element of rotating machines, ensures to continuously reduce and eliminate costs, unscheduled downtime and unexpected breakdowns. This study demonstrates a low-cost microcontroller-based non-contact data acquisition system for condition monitoring of rotating machinery. Experimental validation of the proposed system was carried out by performing examination tests on a gearbox test rig. A user-friendly graphical user interface was also developed which facilitates users to perform signal processing in both real-time and offline mode. The proposed system can perform most of the functions available in complex, stand-alone vibration analysers. The use of a general-purpose PC and standard programing language makes the system simple, economical and adaptable to a variety of problems. The tests show the developed system can perform properly as proposed.

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Section: Acoustic As a Diagnostic Toolmentioning

confidence: 99%

Development of low-cost non-contact structural health monitoring system for rotating machinery

et al. 2018

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“…Kaewkongka and Au [22] applied the AE technique on a rotor dynamic system onto which multiple defects were seeded, including a seeded defect on one of the bearings.…”

Section: Introductionmentioning

confidence: 99%

Development of Acoustic Emission Technology for Condition Monitoring and Diagnosis of Rotating Machines: Bearings, Pumps, Gearboxes, Engines, and Rotating Structures

Mba¹,

Rao²

2006

The Shock and Vibration Digest

269

129

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One of the earliest documented applications of Acoustic Emission Technology (AET)to rotating machinery monitoring was in the late 1960s. Since then there has been an explosion in research and application based studies covering bearings, pumps, gearboxes, engines and rotating structures. This paper presents a comprehensive and critical review to date on the application of Acoustic Emission Technology to condition monitoring and diagnostics of rotating machinery. of surface asperities and impingement of the bearing rollers over a defect on an outer race will result in the generation of acoustic emission. These emissions propagate on the surface of the material as Rayleigh waves and the displacement of these waves is measured with an AE sensor. Rayleigh waves are a combination of longitudinal and transverse waves [4]. It should be noted that surface defects such as cracks and scratches attenuate rayleigh waves, in addition, the surface finish of metals can also influence attenuation [4].Judicious application of well-tried and tested acoustic emission technology can provide powerful diagnostic capabilities, which are safe, efficient and cost-effective. This paper reviews the research and development activities that are being pursued in the following subject areas; bearings (roller and hydrodynamic), gearboxes, pumps, machinery and mechanical seals.Acoustic emission (AE) was originally developed for non-destructive testing of static structures, however, over the last 35 years its application has been extended to health monitoring of rotating machines, including bearings, gearboxes, pumps, etc. It offers the advantage of earlier defect/failure detection in comparison to vibration analysis due to the increased sensitivity offered by AE. However, limitations in the successful application of AE technique for monitoring the performance of a wide range of rotating machinery have been partly due to the difficulty in processing, interpreting and classifying the intelligent information from the acquired data. The main drawback with the application of the AE technique is the attenuation of the signal and as such 3 the AE sensor has to be close to its source. However, it is often practical to place the AE sensor on the non-rotating member of the machine, such as the bearing or gear casing. Therefore, the AE signal originating from the defective component will suffer severe attenuation, and reflections, before reaching the sensor. AE covers a wide frequency range (100 kHz to 1MHz) and time domain waveforms associated with AE are of two types; burst and continuous. A continuous type AE refers to a waveform where transient bursts are not discernible [5]. Both waveform types are associated with rotating machinery, for instance, a continuous type emission may be as a result of turbulent fluid flow within a peep while a burst type could be associated with transient rolling action of meshing bears. On rotating machinery typical background operational noise is of a continuous type. Traditionally the most commonly measured AE parameters ...

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Study of Punch Die Condition Discrimination Based on Wavelet Packet and Genetic Neural Network

Luo

Wang

et al.

Lecture Notes in Computer Science

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Application of Acoustic Emission to Condition Monitoring of Rolling Element Bearings

Abstract: Figure 1 illustrates a systematic diagram of the proposed bearing condition monitoring technique.

Cited by 9 publications

References 2 publications

Development of low-cost non-contact structural health monitoring system for rotating machinery

Development of low-cost non-contact structural health monitoring system for rotating machinery

Development of Acoustic Emission Technology for Condition Monitoring and Diagnosis of Rotating Machines: Bearings, Pumps, Gearboxes, Engines, and Rotating Structures

Study of Punch Die Condition Discrimination Based on Wavelet Packet and Genetic Neural Network

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