Acoustic emission in monitoring sliding contact behaviour

Miettinen, Juha; Siekkinen, V.

doi:10.1016/0043-1648(95)90213-9

Cited by 46 publications

(11 citation statements)

References 5 publications

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“…The high sensitivity of AE to wear also leads to potential difficulties in interpretation. It is widely reported that AE signals taken during wear tests on various component types are significantly larger on start-up while the surfaces face 'bed-in' [75,81]; if a test is paused and restarted, signals generally return to their previous levels [75,82]. In the authors' work on mechanical seals, however, this bedding-in process has been observed occurring without any cessation of operation, repeatedly throughout seal's life.…”

Section: Mechanical Sealsmentioning

confidence: 93%

“…On other occasions when the seals were left in service, these higher than expected AE levels eventually dropped [11]. Another complication reported with AE seal monitoring, is that some failure modes result in a decrease in the signal amplitude or energy, contrary to expected trends [71,74,75]. This may be due to an increase in the lubricating film causing leakage, but decreasing wear and thus AE levels.…”

Section: Mechanical Sealsmentioning

confidence: 99%

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Challenges and obstacles in the application of acoustic emission to process machinery

Sikorska¹

2008

Proceedings of the Institution of Mechanical Engineers, Part E:

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Managing asset integrity is crucial for the cost-effective asset management of processing plants. Consequently, new techniques for detection and classification of incipient faults are continuously being sought by industry and developed by research and development professionals, both corporate and academic. Although acoustic emission (AE) testing for faults in static equipment has been used since the 1970s, its use as a monitoring technology for various machinery conditions has been poorly adopted by industry, despite a significant volume of work having been published over the past twenty years describing success in detecting numerous rotating and reciprocating machinery faults. Anecdotal evidence from industry suggests that many 'tried and failed'. The authors believe that this is because applying AE monitoring to industrial plant is fraught with poorly documented challenges, obstacles, and limitations that must be well understood and overcome before any reported results can be replicated. Thus, to enable potential users to approach AE monitoring with more realistic expectations, the current paper discusses several such problems and suggests some available techniques for their management. After an initial introduction on the basics of AE specifically applied to machinery monitoring, issues are divided into generic problems and application-specific challenges.

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Section: Mechanical Sealsmentioning

confidence: 93%

Section: Mechanical Sealsmentioning

confidence: 99%

Challenges and obstacles in the application of acoustic emission to process machinery

Sikorska¹

2008

Proceedings of the Institution of Mechanical Engineers, Part E:

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“…But, this method was still unsuited for production, because of its expensive cost. Then, acoustic emission (AE) technique had been attempted by Miettinen [7]. However, limited by the level of signal processing at that time, it was unable to separate useful signal from noise since AE sensor was too sensitive to noise.…”

Section: Introductionmentioning

confidence: 99%

Film Thickness Measurement Of Mechanical Seal Based On Cascaded Artificial Neural Network Recognition Model

Zhang

et al. 2014

International Journal on Smart Sensing and Intelligent Systems

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Mechanical seal end faces are separated by a thin fluid film. The thickness of this film must be optimized so as to preventing the serious friction of two end faces and minimizing the fluid leakage. The micro scope condition monitoring of end face is of importance to ensure mechanical seals run normally. A method for measuring the film thickness of end faces and detecting the friction of end faces of mechanical seal has been presented in this paper. Eddy current sensors embedded in the stationary ring of mechanical seals are used to directly measure the thickness of the liquid-lubricated film. The Eddy current signal is decomposed by empirical mode decomposition into a series of intrinsic mode function. The information reflecting the film thickness is obtained by eliminating the false intrinsic mode function components. Acoustic emission sensor placed on the lateral of stationary ring is Erqing Zhang, Pan Fu, Kesi Li, Xiaohui Li and Zhongrong Zhou, FILM THICKNESS MEASUREMENT OF MECHANICAL SEAL BASED ON CASCADED ARTIFICIAL NEURAL NETWORK RECOGNITION MODEL 1871 used to detect the friction of end faces. In order to decrease the acoustic emission signal's noise, wavelet packet and kernel principal component analysis are used to extract the data features. Then cascaded decision is presented to improve the recognition rate of artificial neural network, by which the film thickness can be estimated accurately. With a set of tests, the results demonstrate that the method is effective. It can be widely used to take measurement of the film thickness in industrial field.

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“…Acoustic emission (AE) has been used successfully to monitor machines and processes in a wide variety of industrial environments. Phenomena such as wear, cavitation, plastic deformation, cracking and fracture [1][2][3][4][5][6][7] can be detected in such diverse applications as metal cutting and leak detection [8]. The mechanical events (e.g.…”

Section: Introductionmentioning

confidence: 99%

Recent developments in monitoring of engines using acoustic emission

Steel

Reuben²

2005

The Journal of Strain Analysis for Engineering Design

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The application of acoustic emission (AE) for monitoring internal combustion (IC) engines is reviewed in this paper. Recent developments in monitoring mechanical events and processes using AE are discussed. The high spatial and temporal fidelity of the AE signals acquired from engines in service make it possible to focus monitoring strategies on individual events and processes. This gives AE the advantages of earlier fault diagnosis and source location whereas other techniques generally monitor symptoms of faults. Monitoring of engine speed, event timing, and reconstitution of processes such as injection and combustion are also possible. These capabilities of AE monitoring are discussed with reference to the development of AE data handling and analysis approaches for engines.

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Acoustic emission in monitoring sliding contact behaviour

Cited by 46 publications

References 5 publications

Challenges and obstacles in the application of acoustic emission to process machinery

Challenges and obstacles in the application of acoustic emission to process machinery

Film Thickness Measurement Of Mechanical Seal Based On Cascaded Artificial Neural Network Recognition Model

Recent developments in monitoring of engines using acoustic emission

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