In this educational video from the RMS Reliability Training Institute (https://rms-training.com), Stuart Walker provides a comprehensive, hands-on tutorial on how to diagnose a bearing defect through data collection, analysis, and inspection, identifying the root cause of the damaged bearing. See below for a time-stamped summary.
💡 In this video, you'll discover:
📍 (0:15) Introduction to the thermal oxidizer unit at a chemical plant, which the team is set to inspect for a suspected vibration problem.
📊 (0:55) Explanation of how the vibration route is loaded into the analyzer and data is collected from the combustion fan.
🔄 (4:07) Once back in the office, the collected data is transferred from the analyzer into the PC for further analysis.
🚨 (4:37) An exception report is run to identify any alarms that were triggered during the data collection phase.
📈 (5:55) Presentation of the melter points plot that shows various parameters of the combustion fan.
🕰️ (6:48) A look at the trend history that reveals increased levels of high frequency values, indicating a potential issue.
📝 (9:06) Examination of the spectrum history and waveform, revealing a lot of high-frequency activity.
🔍 (10:07) Detailed analysis of the frequency spectrum and time waveform.
👀 (11:23) Identification of non-synchronous harmonics, indicating a bearing defect.
🧩 (12:25) Using the bearing numbers, potential issues are overlaid onto the analysis for further understanding.
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⚠️ Disclaimer: This video is for educational purposes only and is not intended as professional advice. Always consult with a qualified expert before making any decisions regarding machinery maintenance or asset reliability improvement.