A Self aligning spherical journal bearing is a plain bearing which has spherical surface contact that can be applied in high power industrial machinery. This type of bearing can accommodate a misalignment problem. The journal bearing faults degrade machine performance, decrease life time service and cause unexpected failure which are dangerous for safety issues. Non-intrusive measurements such as surface vibration (SV), airborne sound (AS) and acoustic emission (AE) measurement are appropriate monitoring methods for early stage journal bearing fault in low, medium and high frequency. This paper focuses on the performance comparison using SV, AS and AE measurements in monitoring a self aligning spherical journal bearing for normal and faulty (scratch) conditions. It examines the signals in the time domain and frequency domain and identifies the frequency ranges for each measurement in which significant changes are observed. The results of SV, AS and AE experiments indicate that the spectrum can be used to detect the differences between normal and faulty bearing. The statistic parameter shows that RMS value and peak value for faulty bearing is higher than normal bearing.
Noise inspection is a predictive maintenance technique that is used to determine machine condition. The noise inspection can be done offline and online. Online noise inspection, which is far away from the object, is performed in the control center room. This monitoring system requires a complicated installation and long cables. The complexity of installation can be overcome by implementing a wireless noise inspection system. Wireless noise monitoring system for machinery condition monitoring still lacks information. Therefore, it is necessary to develop a wireless noise monitoring system. The result of wireless noise testing data on the machine is justified through the analysis of noise testing data of wired system. The research objective was to create a wireless noise measurement that is applied on a gearbox that is equipped with a data acquisition system that operates at a constant load and 5 variations of speed. Comparative analysis is used to justify the noise amplitude, time domain, and frequency domain of wireless and cabled measurements. The final test result indicates that the noise and wireless spectrum signals match the noise spectrum and signals using a cable. The highest amplitude lies at 12-13 of a fundamental frequency at a low frequency and at 30 of a fundamental frequency at a high frequency.
<p><em>Turbin uap di industri memiliki tingkat kritis tinggi sehingga diperlukan penerapan teknik predictive maintenance. Teknik yang handal untuk turbin uap adalah inspeksi getaran mesin. Dengan teknik inspe</em><em>k</em><em>si getaran mesin, gejala kerusakan dapat dideteksi secara</em><em> </em><em>dini dan kerusakan lebih lanjut dapat dicegah. Obyek inspeksi yaitu turbin uap yang digunakan turbin menggerakkan pompa melalui transmisi kotak roda gigi. Parameter yang diukur dan dianalisa meliputi overall amplitude, sinyal dan spektrum getaran. Analisanya menggunakan comparative, trending dan descriptive analysis. Berdasarkan overall amplitude menunjukkan bahwa turbin dalam keadan baik dan cenderung memuaskan. Pada turbin terdapat sinyal yang fluktuatif. Pada spektrum nampak frekuensi fundamental turbin dan pompa berikut frekuensi harmoniknya. Amplitudo tertinggi kemungkinan disebabkan karena gearmeshing problem. Amplitudo pada frekuensi 366.2 Hz belum diketahui dari mana berasal. Oleh karena itu diperlukan kajian lebih lanjut terutama pada kotak roda gigi.</em><strong></strong> <em></em></p>
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