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Pregled bibliografske jedinice broj: 860005

Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring


Murat, Zrinka; Brezak, Danko; Augustin, Goran; Majetić, Dubravko
Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring // Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 4: BIOSIGNALS
Porto: SCITEPRESS, 2017. str. 173-177 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring

Autori
Murat, Zrinka ; Brezak, Danko ; Augustin, Goran ; Majetić, Dubravko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 4: BIOSIGNALS / - Porto : SCITEPRESS, 2017, 173-177

ISBN
978-989-758-212-7

Skup
BIOSIGNALS - 10th International Conference on Bio-inspired Systems and Signal Processing

Mjesto i datum
Porto, Portugal, 21.02.2017. - 23.02.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Bone Drilling, Drill Wear, Acoustic Emission, Neural Networks, Data Mining

Sažetak
Medical drills are subject to wear process due to mechanical, thermal and, potentially, sterilisation influences. The influence of drill wear on friction contributes to the drilling temperature rise and occurrence of thermal osteonecrosis. During the cutting process drilling temperature cannot be adequately reduced by applying cooling fluid externally on the bone surface and a part of a tool which is not in the contact with the bone if higher wear rates occurs. Since it is not possible to directly establish or measure drill wear rate without interrupting the machining process, this important parameter should be estimated using available process signals. Therefore, the application of tool wear features extracted from acoustic emission signals in the frequency domain for the purpose of indirect medical drill wear monitoring process has been studied in detail and the results are presented in this paper.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Kliničke medicinske znanosti



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Goran Augustin (autor)

Avatar Url Dubravko Majetić (autor)

Avatar Url Zrinka Murat (autor)

Avatar Url Danko Brezak (autor)


Citiraj ovu publikaciju:

Murat, Zrinka; Brezak, Danko; Augustin, Goran; Majetić, Dubravko
Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring // Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 4: BIOSIGNALS
Porto: SCITEPRESS, 2017. str. 173-177 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Murat, Z., Brezak, D., Augustin, G. & Majetić, D. (2017) Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring. U: Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 4: BIOSIGNALS.
@article{article, author = {Murat, Zrinka and Brezak, Danko and Augustin, Goran and Majeti\'{c}, Dubravko}, year = {2017}, pages = {173-177}, keywords = {Bone Drilling, Drill Wear, Acoustic Emission, Neural Networks, Data Mining}, isbn = {978-989-758-212-7}, title = {Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring}, keyword = {Bone Drilling, Drill Wear, Acoustic Emission, Neural Networks, Data Mining}, publisher = {SCITEPRESS}, publisherplace = {Porto, Portugal} }
@article{article, author = {Murat, Zrinka and Brezak, Danko and Augustin, Goran and Majeti\'{c}, Dubravko}, year = {2017}, pages = {173-177}, keywords = {Bone Drilling, Drill Wear, Acoustic Emission, Neural Networks, Data Mining}, isbn = {978-989-758-212-7}, title = {Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring}, keyword = {Bone Drilling, Drill Wear, Acoustic Emission, Neural Networks, Data Mining}, publisher = {SCITEPRESS}, publisherplace = {Porto, Portugal} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)





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