Untuk dapat mengetahui dan mendeteksi jenis tingkat kerusakan bearing pada motor induksi dilakukan dengan menganalisis sinyal getarannya. Pada penelitian ini, akan dianalisis yang diakibatkan oleh lokal atau terdistribusi ditunjukan adanya getaran frekuensi tertentu muncul. Sedangkan umumnya diketehui dari besarnya ampitude Metode digunakan untuk adalah mengukur karakteristik mengunakan sensor ...

Rolling element bearings are commonly used in rotary mechanical and electrical equipment. According to investigation, more than half of rotating machinery defects related bearing faults. However, reliable fault detection still remains a challenging task, especially industrial applications. The objective this work is propose an adaptive variational mode decomposition (AVMD) technique for non-sta...

Fault diagnosis depends largely on feature analysis of vibration signals. However, feature extraction for fault diagnosis is difficult because the vibration signals often contain a strong noise component. Noises stronger than the actual fault signal may interfere with diagnosis and ultimately cause misdiagnosis. In order to extract the feature from a fault signal highly contaminated by the nois...

The importance of preventing failures in bearings has led to a large amount research being conducted find methods for fault diagnostics and prognostics. Many these solutions, such as deep learning methods, require significant data perform well. This is reason why publicly available are important, there currently exist several open datasets that contain different conditions faults. However, one ...

Induction motor vibrations, caused by bearing defects, result in the modulation of the stator current. In this research, bearing defect is detected using the stator current analysis via Meyer wavelet in the wavelet packet structure, with energy comparison as the fault index. The advantage of this method is in the detection of incipient faults. The presented method is evaluated using experimenta...

Induction motors (IMs) are commonly used in various industrial applications. A spectrum synch (SS) technique is proposed in this chapter for early IM defect detection using electric current signals; fault detection in this work will focus on defects in rolling element bearings and rotor bars, which together account for more than half of IM imperfections. In bearing fault detection, the proposed...