Detection and characterization of cracks for failure monitoring and diagnostics

Buckley, K.M.; Venkatesan, G.T.; West, D.; Kaveh, M.

doi:10.1109/icassp.1996.550119

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Accordingly, movements within a material can be detected by AE, whilst other techniques have limited detection of geometrical distortions, and hence AE technique has superior capabilities compared to these methods [2]. Many researchers demonstrate that AE is an effective flaw-monitoring technique [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation Using Acoustic Emission Technique for Quasi-Static Cracks in Steel Pipes Assessment

et al. 2021

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Acoustic emission (AE) is a phenomenon where transient waves of stress are generated during deformed material, which is applied to detect and monitor the cracks and cracks propagation. The majority of related literature studied simulated wave sources, which were utilized for a single point of a pipe and have been strictly controlled by temporal characteristics. Therefore, the realistic wave sources which do not have known temporal characteristics are studied in the present work. The realistic source is quasi-static crack propagation under three-point bending. The distortions of AE signals are experimentally evaluated by testing the AE signals of crack propagation using simulated sources. A variety of stress intensities are applied on a steel pipe to determine the effect of stress type and intensity on the characteristics of the source using time and frequency domains. Machines are mounted on the steel pipe to locate and reconstitute the features of time and frequency domain of the AE sources. It is concluded that the AE energy was sensitive to the crack size which was concerning to the transition of plane-stress to plane-strain. The potential of AE technique for identifying the nature, intensity and location of crack propagation is demonstrated.

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Section: Introductionmentioning

confidence: 99%

Experimental Investigation Using Acoustic Emission Technique for Quasi-Static Cracks in Steel Pipes Assessment

et al. 2021

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“…AE also surpasses other monitoring techniques as it is considered as a motion detection technique unlike the material abruption detection that is carried out by other methods [9,13,15]. The literature recommended AE method as an efficient technique [5,[16][17][18][19][20][21] for monitoring mechanical systems via structural testing and surveillance [22], machines monitoring and processes control [23], and materials characterization [24]. The AE signals are prone to dispersion and attenuation due to wave elasticity [9,25].…”

Section: Introductionmentioning

confidence: 99%

Investigations of AE Signals Emitted From Dropped Indenter on Steel Pipes’ Surface

et al. 2021

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Acoustic emission (AE) are stress waves created by the material deformation, which could be utilized to detect impacts of objects within different mechanical systems. In a mechanical system, impacts from dropped masses are pertinent to realistic wave sources where is to improve precision of source location in real situation. As such, work is required in order to experimentally evaluate the distortions of AE signals using a set of impacts tests. A series of source intensities were simulated on a steel pipe also the effects of signal type and intensity on the frequency and time domain features were determined. In order to locate and reconstitute the time-and frequency-domain signatures of the AE source, sensors were mounted externally on segments of the tested pipes. It is concluded that the AE energy was easily affected by the location of the indenter shape/geometry. This study demonstrated the significant features and the capability of AE associated with real sources for evaluating and determining the intensity, nature and the position of the damaging events.

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“…Besides measuring the flow rate, pressure, and temperature of the fluid leaked as a basic performance evaluation, efforts have been made in order to get detailed information. 2 Among them, acoustic emission (AE) monitoring, which is traditionally applied to the identification of material defects, 3 is considered as a monitoring method with high potential, owing to its outstanding information density, 2 friction sensitivity, and engineering practicability. In the 1990s, Miettinen and Siekkinen 4 and Holenstein 5 reported early success in detecting tribological behaviors, including friction and leakage, with well-positioned sensors.…”

Section: Introductionmentioning

confidence: 99%

Gas face seal status estimation based on acoustic emission monitoring and support vector machine regression

Yin

Liu

Huang

et al. 2014

Advances in Mechanical Engineering

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The difficulty of knowing the real-time status of gas face seals is the main cause of common problems, including sudden failure, ineffective diagnosis, and unpredictability of service life. This study analyzed the acoustic emission signals generated from experiments, uncovering their features in terms of the frequency distribution, periodic fluctuations, and the behaviors during different operation phases. A new vectorization procedure was designed according to the knowledge of informative acoustic emission features. Based on the vectorization procedure, a support vector machine regression method was applied to develop models predicting the eccentric load on the stator of the seal. Cross-validation was conducted to evaluate the regression performance and search for a proper kernel scale. This study found the informative features of acoustic emissions at different timescales and during different seal operation phases, and particularly the great informative potential of certain segments of the starting and stopping phases. The vectorization and support vector machine regression were shown to be effective in estimating the loads in experiments with cross-validation. Thus, a method for estimating the status of gas face seals based on acoustic emission monitoring was established.

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Detection and characterization of cracks for failure monitoring and diagnostics

Cited by 7 publications

References 9 publications

Experimental Investigation Using Acoustic Emission Technique for Quasi-Static Cracks in Steel Pipes Assessment

Experimental Investigation Using Acoustic Emission Technique for Quasi-Static Cracks in Steel Pipes Assessment

Investigations of AE Signals Emitted From Dropped Indenter on Steel Pipes’ Surface

Gas face seal status estimation based on acoustic emission monitoring and support vector machine regression

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