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  • In Jour Smart Sensing And Intelligent Systems

 

Article

ACOUSTIC EMISSION BASED DEFECTS MONITORING OF THREE-DIMENSIONAL BRAIDED COMPOSITES USING WAVELET NETWORK

In order to effectively differentiate all kinds of defects inside the composites, this paper carries out testing on the internal defects of three-dimensional (3d) braided composites by use of acoustic emission nondestructive detecting technology. It puts forward the processing method for acoustic emission signals for the internal defects of three-dimensional braided composites based on wavelet neural network (WNN). This method does wavelet transformation on real-time collected acoustic emission

Su Hua, Zhang Tianyuan, Zhang Ning

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 780–798

Research Article

Acoustic emission testing of electrical stressed copper trace

Copper becomes more and more important in the electronic industry. This metal is more resilient than conventional materials (like aluminium) due to the higher electrical and thermal conductivity. During several electrical stress pulses the copper changes. The surface can melt up and cracks and voids can develop inside the copper specimen. In this paper we use acoustic emission testing to analyse copper degradation especially of copper and copper traces. It is evaluated if an acoustic wave

Daniela Florian, Thomas Wiesner, Bernhard G. Zagar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6

Research Article

SENSORS FOR MONITORING COMPONENTS, SYSTEMS AND PROCESSES

The application of sensors encompasses many sectors of industry. In this paper, we outline different sensors – Raman distributed temperature sensor, sensor based on nano ferrofluids and MEMS based ultrasonic sensors. The development and application of these sensors for monitoring performance of systems and processes are discussed. Further, we also discuss the application of acoustic emission and infrared thermal imaging for process monitoring.

T. Jayakumar, C.Babu Rao, John Philip, C.K. Mukhopadhyay, J. Jayapandian, C. Pandian

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 61–74

Article

FILM THICKNESS MEASUREMENT OF MECHANICAL SEAL BASED ON CASCADED ARTIFICIAL NEURAL NETWORK RECOGNITION MODEL

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 used to detect the friction of end faces. In order to decrease the acoustic emission signal’s noise

Erqing Zhang, Pan Fu, Kesi LI, Xiaohui Li, Zhongrong Zhou

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1870–1889

Research Article

An Experimental Assessment of PZT Patches for Impedance-Based SHM Applications

In this paper, we present an alternative method for assessing the sensitivity of lead zirconate titanate (PZT) piezoceramics for damage detection in structural health monitoring (SHM) systems based on the electromechanical impedance (EMI) principle. An assessment of the sensitivity is obtained experimentally using the pencil lead break (PLB) method, which is frequently used in acoustic emission (AE) systems. Tests were carried out on an aluminum beam, and the results show a clear relationship

Vinicius Augusto Dare de Almeida, Fabricio Guimarães Baptista

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–5

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