Experimental Study of 3 KW Generator Damage Types Based on Vibration Signals

Authors

  • Abdun Nafi’ University of Sunan Giri Surabaya
  • Fahmy Riyadin University of Sunan Giri Surabaya
  • Didit Darmawan University of Sunan Giri Surabaya

Keywords:

Generator, vibration signal, fault type, machine condition, damage, 3 KW generator, mechanical looseness

Abstract

The vibrate occurred in machine is caused by the influence of external vibration or inner of machine. Vibration signal measurements are generally used to monitor the condition of rotating machines such as motors and generators. Machine condition could be known by using vibration signal which can achieve diagnose of machine.  This maintenance technique can detect damage to a machine by means of vibration analysis through identification of the vibration signal generated. This research was conducted by analyzing the type of damage to the 3 KW generator based on the vibration signal. This study analyzes 2 types of damage, namely mechanical looseness, and bearing faults based on vibration signals with a frequency domain after knowing the normal condition of the generator. In case of mechanical looseness can be seen from the vibration signal data with the characteristic peak amplitude at 2x rpm. To determine the damage to the bearing fault case, it can be seen from the characteristics of the peak amplitude of  BSF: 49 HZ, BPFI: 116 Hz, BPFO: 80 dan FTF: 10

References

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Howard, G.A. C. Ray (1998), Rotating Machinery Energy Loss Due To Misalignment, US Naval Facilities Enginering Service Center.

Kunto, A. (2007), Deteksi Kerusakan Bantalan Gelinding Pada Pompa Sentrifugal Dengan Analisa Sinyal Getaran, Jurusan Teknik Mesin Fakultas Teknik Universitas Sebelas Maret, Surakarta.

Muhamad.R. & P. Nanda. (2018). Analisa Kerusakan Bola (Ball Bearing) Berdasarkan Signal Getaran, Jurnal Manutech, 10(2), 44-69.

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Published

2023-04-28

How to Cite

Nafi’, A. ., Riyadin, F. ., & Darmawan, D. (2023). Experimental Study of 3 KW Generator Damage Types Based on Vibration Signals. International Journal of Service Science, Management, Engineering, and Technology, 3(2), 27–31. Retrieved from https://ejournalisse.com/index.php/isse/article/view/68

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