VIBRATION ANALYSIS AS A TRANSFORMATIVE APPROACH TO CONDITION-BASED MONITORING

ABSTRACT

Every industry has a vast array of machinery that must operate continuously to maintain production. Early identification and diagnosis of technical issues is critical for the organization's efficient operation. A business's operational and financial elements, as well as its safety and reputation, can be adversely affected by the insufficient identification of early warning signs. Therefore, one of the key components of every industry's successful and economical operation is machinery maintenance. In this study, vibration analysis was adopted to enhance the effectiveness of condition-based monitoring using centrifugal pump and a V12 diesel engine as case study. It explores the various vibration signals generated from the machinery and discusses how these signals can be analyzed to detect abnormalities, diagnose faults, and predict impending failures. The raw vibration data was converted to a fast fourier transform spectrum to detect the machinery abnormality. The defects were then compared to ISO 10816 standards to detect the severity of abnormality. The vibration analysis conducted on the centrifugal pump revealed the presence of imbalances in the rotating components as indicated by elevated vibration levels at specific rotational frequencies. Misalignment was also detected, suggesting the need for precise realignment of the shafts and couplings. The analysis conducted on the V12 diesel engine revealed a clear correlation between elevated temperatures and increased vibration levels. Higher operating temperatures were associated with higher vibration levels, indicating stress on mechanical components.