Bone-crack detection by piezoeletric-electromechanical impedance method

Mazlina, M.; Bibi, Sarpinah S.N; Tawie, Rudy; Daho, Claira Dalislone; Annuar, Ishak

doi:10.1109/i4ct.2015.7219610

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…In [139], the authors investigated EMI applied to an ex vivo human femur with fissure and fracture as well as the effect of density increase due to wetting of dry bone. In [140], EMI based method was able to detect artificially induced bone fissures. Experimental results were analyzed by quantifying RMSD computed between EMI frequency responses obtained from bone with and without fissures.…”

Section: Current Stagementioning

confidence: 99%

Osteoporosis Screening: Applied Methods and Technological Trends

Oliveira

Moraes²,

Castanha³

et al. 2022

Medical Engineering & Physics

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Section: Current Stagementioning

confidence: 99%

Osteoporosis Screening: Applied Methods and Technological Trends

Oliveira

Moraes²,

Castanha³

et al. 2022

Medical Engineering & Physics

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“…The AD5933 evaluation board (or AD5933 chip) enables impedance of up to 100 kHz with 500 data points to be measured with various authors having used this device for investigating the EMI technique. 20–23 In addition, it is small enough to be made into a portable system, for which a USB cable can provide power and collect data simultaneously. Although that the portable system proposed by this work limits the inspector to monitor areas that are reachable, it is possible to make a remote device using the AD5933 chip.…”

Section: Equipment and Analysismentioning

confidence: 99%

A portable bolt-loosening detection system with piezoelectric-based nondestructive method and artificial neural networks

2021

Structural Health Monitoring

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In general, the bolted joints that connect and secure components together can be easily spotted in our surroundings. This joining method has been commonly used in various areas of engineering (e.g. aerospace, civil, and mechanical engineering) as it has been proven one of the most effective means to join parts together. Although it has its advantages, the vibration that bolted structures endure during service ultimately causes the bolts to loosen. This can, in turn, have a negative effect on the structure’s safety and may, at worst, cause it to fail. Routine inspections of structures are conducted on a regular basis, with some inspection categories requiring heavy equipment in order to acquire certain data. In addition, monitoring systems can be expensive to install and maintain, especially in large infrastructures. In an effort to rectify this, in this study, a piezoelectric transducer–based nondestructive technique is used in conjunction with the application of a reattachable device to investigate the possibility of creating a low-cost inspection system. The acquired data were processed by means of an artificial neural network technique that showed promising results in terms of mitigating bolt loosening.

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