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In this video, Andrew Pry, a solutions architect at Augury, walks us through the Augury platform used for machine vibration analysis. He starts by familiarizing us with a machine equipped with sensors on both the motor and fan ends. By selecting different axes and filters, he demonstrates how to analyze vibration trends over time, particularly focusing on identifying issues like bearing problems. Pry explains how to interpret various trends and metrics, such as velocity and envelope, to pinpoint abnormalities.
Moving on, Pry delves into session analysis, highlighting the significance of identifying frequencies related to motor and driven equipment speeds. He demonstrates how to use cursor tools to identify frequencies of concern and compares them against known bearing frequencies to diagnose issues like bearing wear. Pry emphasizes the importance of distinguishing between synchronous and non-synchronous frequencies to accurately diagnose problems and rule out false positives.
As the analysis progresses, Pry discusses the presence of common motor frequencies like twice line frequency and explains how to differentiate them from bearing frequencies using spectral analysis. He highlights the significance of identifying sidebands and harmonics, which serve as additional evidence to support the diagnosis of bearing wear. Pry emphasizes the iterative nature of vibration analysis, where analysts add screenshots and descriptions to build a case for identifying faults accurately.
Throughout the demonstration, Pry provides insights into vibration analysts' thought processes and techniques, such as leveraging known bearing frequencies and understanding the nuances of spectral analysis. He encourages you to engage with the platform and explore vibration analysis techniques further, emphasizing the platform's potential for in-depth machine health monitoring.
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Video Notes
*5:12 Clarification: Click and drag to zoom in; double click to zoom out.
*7:59 "we can pick up the defects in the Stainless Steel Shaft" the correct statement is "we can pick up the defects in the Carbon Steel Shaft"
*8:10 Clarification: whether or not this gets labeled as Fan Shaft or Belt Rate does not matter for this analysis session, since we are just differentiating that this frequency is different than another frequency which we will identify later (the differentiation is pointed out at 9:47). If we wanted to be sure about this frequency, we can gather sheave size information.
*18:36 Clarification: If it were actually a belt pass frequency, the cursor harmonics would line up exactly on the frequencies higher in the frequency range. Since they do not exactly line up, this is what tells us they are sidebands and not harmonics of the raw frequency.
Tags: Vibration analysis, Condition monitoring, Predictive maintenance, Machinery diagnostics, Spectrum analysis, Machine health monitoring, Asset reliability, Equipment troubleshooting, Vibration spectrum, Bearing analysis, Fault detection and diagnosis