Acoustic Emission Source Location Using a Distributed Feedback Fiber Laser Rosette

Huang, Wenzhu; Zhang, Wentao; Li, Fangfang

doi:10.3390/s131014041

Cited by 37 publications

(13 citation statements)

References 22 publications

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“…Hay et al [71] applied an acoustic emission technique to monitor the connection parts of a bridge. In recent years, there is an emphasis on the monitoring of various structures in real time, and many innovative algorithms [72][73][74][75][76][77][78][79], sensors [14,80,81], and systems [82][83][84][85][86] have been developed for such a purpose. An AE sensor is normally small, and it can be easily attached to the host structure for real-time monitoring in a nondestructive way [81,[87][88][89][90].…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

et al. 2018

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Pin connections are one of the most important connecting forms and they have been widely used in engineering fields. In its service, pin connections are subject to wear, and it will be beneficial if the health condition of pin connections can be monitored in real time. In this paper, an acoustic emission (AE)-based method was developed to monitor wear degree of low rotational speed pin connections in real time in a nondestructive way. Most pin connections are operated at low rotational speed. To facilitate the research, an experimental apparatus to accelerate the wear test of low rotational speed pin connections was designed and fabricated. The piezoceramic AE sensor was mounted on the test apparatus in a nondestructive way, and it was capable of real-time monitoring. Accelerated wear tests of low rotational speed pin connections were conducted. To verify the results of the AE technique, a VHX-600E digital (from Keyence, Osaka, Japan) microscope was applied to observe the micrographs of the tested pins. The experimental results show that AE activity existed throughout the entire wear process, and it was the most prominent in the serious wear phase. The wear degree of the pin connections can be reflected qualitatively by the signal strength and the accumulative signal strength of the AE signals. In addition, two different wear forms can be distinguished by comparing the signal strength values of all specimens. Micrographs of all specimens confirm these results, and determine that the two wear forms include adhesive wear and abrasive wear. Furthermore, AE results demonstrated that adhesive wear is the main mode of wear for the low rotational speed pin connections, and the signal strength of the adhesive wear is around 190 times larger than that of abrasive wear. This feasibility study demonstrated that the developed acoustic emission technique can be utilized in the wear monitoring of pin connections in real time in a nondestructive way.

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Section: Introductionmentioning

confidence: 99%

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

et al. 2018

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“…Deformation monitoring of the slope is very significant to knowing a slope's status and trend and carrying out evaluation and geological disaster warning [3]. Traditional slope monitoring technologies often use electromagnetic sensors [4] and acquisition instruments [5], where an electrical signal is highly susceptible to electromagnetic interference [6] and cannot be transmitted over a long distance. Largescale slope monitoring cannot be achieved by traditional slope monitoring technologies.…”

Section: Introductionmentioning

confidence: 99%

A High Precision Fiber Bragg Grating Inclination Sensor for Slope Monitoring

Zhao

et al. 2019

Journal of Sensors

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A high precision and small size Fiber Bragg Grating (FBG) inclination sensor which is used for slope monitoring is proposed in this paper. The FBG inclination sensor has a pendulum structure for high precision and a circular body for easy installation in the common inclinometer pipe. The sensitivity of the FBG inclination sensor can reach 400 pm/deg by optimizing its parameters. The test results show the superior performance of this FBG inclination sensor in terms of static characteristics, and its sensitivity is 406.6 pm/deg. The comparison experiment shows the static characteristics of the FBG inclination sensor are better than the traditional electrical inclination sensor.

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“…Most of these localization algorithms developed utilize time information extracted from the AE wave signals recorded by different sensors. Combined with the known velocity of AE waves and the distance between the sensors, the location of the AE source can be triangulated or calculated by solving a set of nonlinear equations [ 3 , 4 , 5 , 6 , 7 , 8 ]. The time information is usually extracted by relatively simple processing methods, such as threshold crossing [ 9 ], cross-correlation [ 10 ] and statistical Akaike information criterion (AIC) [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Image-Based Method for Identification of Acoustic Emission (AE) Sources in Plate-Like Structures Using a Lead Zirconium Titanate (PZT) Sensor Array

Yan

Zhou

2018

Sensors

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This paper proposes an innovative method for identifying the locations of multiple simultaneous acoustic emission (AE) events in plate-like structures from the view of image processing. By using a linear lead zirconium titanate (PZT) sensor array to record the AE wave signals, a reverse-time frequency-wavenumber (f-k) migration is employed to produce images displaying the locations of AE sources by back-propagating the AE waves. Lamb wave theory is included in the f-k migration to consider the dispersive property of the AE waves. Since the exact occurrence time of the AE events is usually unknown when recording the AE wave signals, a heuristic artificial bee colony (ABC) algorithm combined with an optimal criterion using minimum Shannon entropy is used to find the image with the identified AE source locations and occurrence time that mostly approximate the actual ones. Experimental studies on an aluminum plate with AE events simulated by PZT actuators are performed to validate the applicability and effectiveness of the proposed optimal image-based AE source identification method.

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Acoustic Emission Source Location Using a Distributed Feedback Fiber Laser Rosette

Cited by 37 publications

References 22 publications

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

A High Precision Fiber Bragg Grating Inclination Sensor for Slope Monitoring

An Optimal Image-Based Method for Identification of Acoustic Emission (AE) Sources in Plate-Like Structures Using a Lead Zirconium Titanate (PZT) Sensor Array

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