Pengenalan Kerusakan Mekanis Pompa Air Berbasis Sinyal Getaran pada Ranah Frekuensi
Abstract
One way in recognizing mechanical faults of electrical machines is using the vibration signals. This paper studies the recognition of mechanical faults of electrical machines which have faulty bearing, faulty impeller, and faulty foot valve. Electrical machines studied in this paper are household water pumps. The recognition of mechanical faults is conducted using the vibration signals at the frequency domain at various frequency resolution. The recognition method used is template matching for pattern classes. Euclidean distance function is used in this template matching. Based on the results, the highest recognition rate of 100% is optimally obtained using the vibration signal at frequency resolution of 5,9 Hz, and the number of 5 samples/classes in the water pump database. The 5,9 Hz frequency resolution was obtained using a 256 point FFT, where the number of 128 FFT coefficients are used as the feature extraction.
References
A. Satmoko, “Analisis Kualitatif Teknik Thermography Infra Merah dalam Rangka Pemeliharaan Secara Prediktif pada Pompa”, Prosiding Seminar Nasional SDM Teknologi Nuklir 2008, Sekolah Tinggi Teknologi Nuklir BATAN, Yogyakarta, pp. 403-408, 2008.
B. T. Atmaja, A.S. Aisyah, dan D. Arifianto, “Pemisahan Banyak Sumber Suara Mesin Menggunakan Analisis Komponen Independen (ICA) untuk Deteksi Kerusakan”, Jurnal Ilmu Komputer dan Informasi, vol. 3, no. 3, pp. 9-14, 2010.
T. P. Purwanto, dan J. Sianipar, “Spektrum Getaran Pada Bantalan Elemen Gelinding Tanpa Pelumasan dan Mengalami Misalignment”, Jurnal Mesin Industri, vol. 6, no. 1, pp. 47-58, 2009.
E. Ebrahimi, “Vibration Analysis for Fault Diagnosis of Rolling Element Bearing”, Journal of American Science, vol. 8, no. 2, pp. 331-336, 2012.
L. Sumarno, Tjendro, W. Widyastuti, dan D. Wihadi, “Analisis Kerusakan Bantalan pada Berbagai Resolusi Frekuensi”, Prosiding Seminar Nasional FORTEI 2013, Universitas Andalas, Padang, pp. 14-18, 2013..
L. Sumarno, Tjendro, W. Widyastuti, dan D. Wihadi, “Water Pump Mechanical Faults Display at Various Frequency Resolutions”. Telkomnika. vol. 12. no. 1, pp. 97-106, 2014.
J. G. Proakis, dan D. G. Manolakis, Digital Signal Processing: Principles, Algorithm, and Applications, 4th Edition, Prentice Hall Inc, New Jersey, 2007.
D. R. Wilson, dan T. R. Martinez, “Improved Heterogeneous Distance Function”, Journal of Artificial Intelligence Research, vol. 6, pp. 1-34, 1997.
A. K. Jain, R. P. W. Duin, dan J. Mao, “Statistical Pattern Recognition: A Review”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 4-37, 2000.
N. A. Meseguer, “Speech Analysis for Automatic Speech Recognition”, MSc Thesis, NTNU, Trondheim, 2009.
F. J. Harris, “On the Use of Windows for Harmonic Analysis with the Discrete Fourier Transform”, Proceedings of the IEEE, vol. 66, no.1, pp. 51-83, 1978.
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