The Effect of Number of Microphones toAmplitude Changes for Detect Crack on Rotating Shaft with Blind Source Separation-Independent Component Analysis Method

• Published in: Research Journal of Applied Sciences, Engineering and Technology Engineering and Technology, 2018-03, Vol.15 (3), p.98-106
• Main Authors: Novitha L.T. Thenu, Dhany Arifianto, I Made Ariana, Achmad Zubaydi
• Format: Article
• Language: English
• ISSN: 2040-7467; 2040-7467
• DOI: 10.19026/rjaset.15.5834

This study aims to determine the amplitude change due to the addition of the number of microphones to detect the cracking of the rotating shaft. This study presents the measurement of sound data from the cracked shaft which is one component of a simple transmission system. The sound signal emitted by the cracked shaft is very complex, low frequency and comes from various sources. Statistically, the sound signal is independent and based on this nature; the mixed signal can separate. The method to separate mixed signals is blind source separation without knowing the origin and process of a signal combined with Independent Component Analysis (ICA). One of the conditions that must satisfy in the BSS method is to know the number of source signals, but in practice, what happens is not specific and complicated. This study use variable is the number of microphones and the shaft speed. The results obtained are the use of microphone array of two, three and four can increase the magnitude amplitude of the estimation signal, while the increased of the shaft speed, the magnitude amplitude of the estimation signal also increased. Use of four microphones has of higher amplitude values than a single, two and three microphones. Moreover, the lowest mean square error value increases the microphone sensitivity. Implications of using microphones array to detect a crack that cannot measure by an accelerometer and avoid distortion on the rotating shaft.