Detection of an imbalance fault by vibration monitoring: case of a screw compressor

سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 178

فایل این مقاله در 13 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_APRIE-8-1_003

تاریخ نمایه سازی: 1 اردیبهشت 1400

چکیده مقاله:

The evolution of the means aimed at improving the availability of strategic equipment requires a credible level of maintenance with the development of original monitoring techniques such as vibration diagnostics. The vibration monitoring of strategic equipment through a vibration diagnosis requires mainly the identification of vibrational images of the different types of damage. However, one of the important vibration problems is essentially due to the phenomenon of imbalance. This phenomenon corresponds to an imbalance of the rotor due to the offset between the axis of inertia and the axis of rotation, which causes significant and cyclical vibrations. The aim of this study is to analyze the vibratory behavior of a screw compressor to improve its reliability and consequently its availability. To identify the imbalance fault, two sets of vibration measurements on April and January were fundamentally examined at the compressor level. Fourier transform based on spectral analysis was used to create a vibration detection approach with vibration signals. The comparison of the results obtained with that of the simulation resulting from the model of dynamic behavior of the compressor is conclusive.

نویسندگان

Walid Meslameni

Department of Mechanical Engineering, Higher Institute of Technological Studies of Sfax, ISET de Sfax, Tunisia.

Taoufik Kamoun

Department of Mechanical Engineering, Higher Institute of Technological Studies of Sfax, ISET de Sfax, Tunisia.

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • [1]   Morel, J. (1992). Vibration monitoring and predictive maintenance. Ed. Techniques ...
  • [2]   Meslameni, W. (2020). Diagnosis of rotating machines by vibration ...
  • [3]   Gangsar, P., & Tiwari, R. (2020). Signal based condition ...
  • [4] Ikpe, A. E., Etuk, E. M., & Adoh, A. ...
  • [5] Ikpe, A. E., Iluobe, I. C., & Imonitie, D. ...
  • [6] Meslameni, W., & Salema, C. B. (2018). Detection of ...
  • [7] Augeix, D. (2001). Vibration analysis of rotating machines. Ed. Techniques ...
  • [8] Abou elanouar, B., Elamrani, M., Elkihel, B., & Delaunois, ...
  • [9] Mubaraali, L., Kuppuswamy, N., & Muthukumar, R. (2020). Intelligent ...
  • [10] Debbah, Y., Cherfia, A., & Saadi, A. (2015). Application ...
  • [11] González-Muñiz, A., Díaz, I., & Cuadrado, A. A. (2020). ...
  • [12] Bogard, F., Debray, K., Guo, Y. Q., & Pavan, ...
  • [13] Zhao, B., & Yuan, Q. (2021). Improved generative adversarial ...
  • [14] Zhang, M., Wang, T., Tang, T., Benbouzid, M., & ...
  • [15] Wei, J., Huang, H., Yao, L., Hu, Y., Fan, ...
  • [16] Kaidi, I., & Kabouche, A. (2018). Analysis of unbalance ...
  • [17] Yamamoto, G. K., da Costa, C., & da Silva ...
  • [18] Salem, S. B., Bacha, K., & Chaari, A. (2012). ...
  • [19] Xu, B., Sun, L., Xu, L., & Xu, G. ...
  • [20] Asad, B., Vaimann, T., Kallaste, A., Rassõlkin, A., & ...
  • [21] Cabal-Yepez, E., Garcia-Ramirez, A. G., Romero-Troncoso, R. J., Garcia-Perez, ...
  • [22] Climente-Alarcon, V. I. C. E. N. T. E., Antonino-Daviu, ...
  • [23] Ma, C. Y., Wu, L., Sun, M., & Yuan, ...
  • [24] Kumar, S., Lokesha, M., Kumar, M. K., & Ramachandra, ...
  • [25] Hafaifa, A., Guemana, M., & Daoudi, A. (2015). Vibrations ...
  • [26] Mohammadi, E., Fadaeinedjad, R., & Moschopoulos, G. (2019, October). ...
  • [27] Hafaifa, A., Guemana, M., & Daoudi, A. (2013). Fault ...
  • نمایش کامل مراجع