Abstract
Bu çalışmada, arizi kusur kök
nedenlerine etki eden faktörler, kaynaklı bir test düzeneği ve özgün deneysel
uygulama ile durum izleme teknikleri kullanılarak incelenmiştir. Kök neden
arıza tespiti hedefine ulaşabilmek için ise, titreşim verileri radyal ve
eksenel yönlerde toplanmıştır. Bu test düzeneği kurulumu endüstriyel ortamda
varolan bir sistemden esinlenerek dizayn edilmiş ve test düzeneğinde ana
düzenek, sehpa parçaları kaynaklı yöntemle birleştirilme yoluna gidilmiştir.
Dengesizlik ve mekanik gevşeklik kusurları test düzeneğinde belirlenmiş dönme
frekansı etkisinde oluşturulmuştur. Titreşim verileri bilgisayar sistemi ile
entegre dört kanallı veri toplama kartı (DAQ) aracılığıyla aynı anda üç eksende
toplanmıştır. Çalışma sonuçlarına göre, test edilen kusurların tespiti titreşim
analizi ile başarılı olduğu sonucuna varılmıştır. Çalışmada, prognoz ve
diyagnoza dayalı teşhis ve tanı işlemlerinde, temel frekans ve rezonansa neden
olan doğal frekansların çakışmalarından dolayı eş zamanlı belirtilerin yanlış
değerlendirmelere neden olabileceği ortaya konulmaktadır.
References
- [1] Sinha, J.K., 2002: Health Monitoring Techniques for Rotating Machinery, Ph.D. Thesis, University of Wales Swansea (Swansea University), Swansea, UK. [2] Al-Hussain K.K., 2003: Dynamic stability of two rigid rotors connected by a flexible coupling with angular misalignment. Journal of Sound and Vibration, 217-234. [3] Sudhar, G.N.D.S., Sekhar, A.S., 2011: Identification of unbalance in rotor bearing system. Journal of Sound and Vibration, 330, 2299-2313 [4] Lebold, M., Reichard, K., Boylan, D., 2003: Using DCOM in an open system architecture framework for machinery monitoring and diagnostics. IEEE Aerospace Conference,1227–1235. [5] Christer, A.H., Wang, W., Sharp, J.M., 1997: A state space condition monitoring model for furnace erosion prediction and replacement. European Journal of Operational Research, 101, 1 –14. [6] Goodenow, T., Hardman, W., Karchnak, M., 2000: Acoustic emissions in Broadband vibration as an indicator of bearing stress, in: IEEE Aerospace Conference Proceedings, 6, 95–122. [7] Schoen, R.R., Lin, B.K., Habetler, T.G., Schlag, J.H., Farag, S., 1995: An unsupervised, on-line system for induction motor fault detection using stator current monitoring. IEEE Transactions on Industry Applications, 31(6), 1280–1286.
Abstract
In this study, the factors influencing the root causes of failure
initiations are examined by conducting the original experimental implementation
and condition monitoring techniques on a welded test setup construction. In
target of root cause failure detection, vibration data are acquired through
radial and axial directions for the analysis. A test setup system has been
designed by gathering inspiration from an existing system in industrial
environment and the test setup constructed by welding method in joinings of
main steel parts. Unbalance and mechanical looseness failures are practised at
one rotation frequency on the test setup. Vibrational data are collected in
three axis simultaneously through four-channel data acquisition card (DAQ)
integrated with the computer system. According to the study results, vibration
analysis in detection of tested failures has been judged to be successful. In
the study, it is mentioned that prognosis and diagnosis may go in incorrect
evaluation respect to the concurrent symptoms of failure data consisting main
orders of the base frequency and natural frequencies that lead to resonance.
References
- [1] Sinha, J.K., 2002: Health Monitoring Techniques for Rotating Machinery, Ph.D. Thesis, University of Wales Swansea (Swansea University), Swansea, UK. [2] Al-Hussain K.K., 2003: Dynamic stability of two rigid rotors connected by a flexible coupling with angular misalignment. Journal of Sound and Vibration, 217-234. [3] Sudhar, G.N.D.S., Sekhar, A.S., 2011: Identification of unbalance in rotor bearing system. Journal of Sound and Vibration, 330, 2299-2313 [4] Lebold, M., Reichard, K., Boylan, D., 2003: Using DCOM in an open system architecture framework for machinery monitoring and diagnostics. IEEE Aerospace Conference,1227–1235. [5] Christer, A.H., Wang, W., Sharp, J.M., 1997: A state space condition monitoring model for furnace erosion prediction and replacement. European Journal of Operational Research, 101, 1 –14. [6] Goodenow, T., Hardman, W., Karchnak, M., 2000: Acoustic emissions in Broadband vibration as an indicator of bearing stress, in: IEEE Aerospace Conference Proceedings, 6, 95–122. [7] Schoen, R.R., Lin, B.K., Habetler, T.G., Schlag, J.H., Farag, S., 1995: An unsupervised, on-line system for induction motor fault detection using stator current monitoring. IEEE Transactions on Industry Applications, 31(6), 1280–1286.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Uluslararası Kaynak Teknolojileri Konferansı (ICWET'16) |
| Authors | |
| Publication Date | May 31, 2017 |
| Submission Date | June 1, 2017 |
| Published in Issue | Year 2017 Volume: 4 Issue: 2 |
