MOBIUS INSTITUTE - RELIABILITY IMPROVEMENT & VIBRATION ANALYSIS TRAINING AND CERTIFICATION PER ISO 18436

Mobius Institute - Vibration Analysis

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Videos and Narrated Presentations

 

Here you will find a number of short presentations and videos about vibration analysis and condition monitoring topics. Please take a look, we know you find them beneficial. Please note: The presentations not hosted on YouTube will require Adobe Flash® player to be installed on your PC, and is not available on most mobile devices.

RELIABILITY IMPROVEMENT: Pockets of Knowledge

How do make sure that everyone is on the same page - all pulling in the same direction to achieve improved reliability success? With merely "pockets of knowledge" your reliability initiative won't be sustainable. This iLearnReliability presentation examines this topic, and provides suggestions to avoid this common pitfall.

RELIABILITY IMPROVEMENT: Improve Your Plant Reliability

Everyone contributes to unreliability, therefore everyone must be trained to improve your plant's reliability. This overview presentation describes how you can take meaningful steps toward sustainable reliability improvement by subscribing to iLearnReliability. Plant-wide training for everyone at your plant from top management, reliability and condition monitoring program managers, skills training for the craftsmen and plant-wide awareness for everyone on the plant floor.

RELIABILITY IMPROVEMENT: The Roadmap to Reliability

Reliability Improvement is achievable and sustainable without the need to hire expensive consultants who benefit by your program's dependence on them. Jason Tranter describes the Roadmap to Reliability Improvement that can be realized without outside help. Learn more at http://www.MobiusInstitute.com/reliability.

VIBRATION ANALYSIS: Averaging a variable signal - Part 1 

In this 15 minute video, Jason Tranter talks about the averging process that takes place in the FFT analyzer.  This movie is Part 1 of a two part series.  The first part discusses the problems associated with measuring a signal that changes in frequency during the test - specifically for the case of a machine that may vary in speed while you are measuring it.  The second video deals with averaging signals that are 'beating'.

VIBRATION ANALYSIS: Averaging a variable signal - Part 2

In this 12 minute video, Jason Tranter discusses the averaging process that takes place in an FFT analyzer. Averaging is used to increase the time span of a data sample and to remove noise. What happens if the signal we are monitoring is varying in time? What if the amplitude of a particular frequency is going up and down in amplitude as you measure it? The average will result in the average height of the peak during the time span in which it was measured. The final data will not however indicate that the peak was changing amplitude during the test. What can we do to solve this problem? Watch this video and find out!

VIBRATION ANALYSIS: Averaging and the FFT 

This 8 minute video by Jason Tranter gives you an overview of the averaging process that occurs in the FFT analyzer. This video will help you understand what averages are, why you take them and how may you should take. Jason also describes where averaging occurs in the data processing process. We think you will enjoy this video!

VIBRATION ANALYSIS: Cocked bearing

In this brief presentation, Jason Tranter uses 3-D animations to visually explain what is meant by “cocked bearing”, how it can be detected utilizing spectrum analysis, and how it can be confirmed using phase analysis.

VIBRATION ANALYSIS: FFT spectrum resolution and averaging

In this short video, Jason Tranter describes the relationship between the lines of resolution of an FFT spectrum and the number of averages one should select. This presentation is especially relevant today because of the increased capacity of modern digital data collectors. This increase in capacity has resulted in a different data collection strategy than existed a few years ago.

VIBRATION ANALYSIS: Filters and the FFT analyzer

In this 5 minute video, Jason Tranter describes the four basic types of filters one finds in a vibration data collector. Filtering is an essential part of vibration data collection and processing, whether you know it or not, the data you are collecting is being filtered in a number of ways. It is therefore important to have a general grasp of what filters are and what they are used for in order to assure that data of interest to you is not filtered out of the signal.

VIBRATION ANALYSIS: Fmax, lines of resolution, averages and units

In every FFT vibration data collector, the user has to configure four important data collector settings. In this 9 minute video, Jason Tranter will explain these four important settings and will offer some guidelines in how to configure your data collector. The four settings are:

  • Fmax - describes the maximum frequency being measured for this test
  • Lines of resolution - describes how much resolution the vibration spectrum will have (similar to the resolution of a digital photo)
  • Averages - The data collector will take a number of readings and average them. How many do we need?
  • Units - displacement, velocity or acceleration. Which are you measuring and which do you want to analyze?

VIBRATION ANALYSIS: How many averages should you take?

In this short video, Jason Tranter discusses averaging and the FFT analyzer and answers the question: "How many averages should I take?" Averaging in the FFT analyzer is used to reduce noise and to get a better idea of what is happening in your machine over a short period of time. In general, more averages will give you a longer time window in which to view what is going on in the machine, on the down side, it will take more time to collect the data. If one takes no averages or not enough averages, the data collection time may be too short to give you a good picture of what is happening with the machine. So, how do you select the correct amount of averages? Watch this video and find out!

VIBRATION ANALYSIS: Introduction to orbit plots 

In this short presentation, Jason Tranter explains the use of proximity probes on fluid film bearings or journal bearings and the graphical display typically associated with this application; the orbit plot. When monitoring a fluid film bearing with proximity probes (also called displacement probes) one measures the distance between the shaft surface and the inner surface of the bearing. Utilizing two probes oriented 90 degrees from each other, one can create a plot that describes the motion of the shaft within the bearing. This is the orbit.  We hope you enjoy this 8 minute video!

VIBRATION ANALYSIS: Introduction to Vibration Analysis 

This 20-slide presentation will provide an introduction to why we collect vibration measurements and how we look at the spectra.  If you have ever wondered what the vibration tells you, this presentation will give you an excellent overview. 

VIBRATION ANALYSIS: Log and linear graph scales

Is it possible that the vibration data you are analyzing is trying to tell you something important but you are not seeing it because you have the graphs scaled incorrectly? Is it possible that the failed bearing did in fact give you plenty of forewarning that it was going to fail but the bearing tones were hidden in the noise floor because you used a linear graph scale? Has anyone told you that they prefer looking at graphs using a linear scale because they have fewer peaks and are easier to read? Although it may be true that they have fewer peaks is it not also possible that the ones that are missing are actually the important ones! Watch this video by Jason Tranter and you may find yourself talking in decibels soon enough! 

VIBRATION ANALYSIS: Overlap averaging in the FFT analyzer 

In this short video, Jason Tranter describes the concept of overlap averaging in the FFT vibration analyzer. When collecting data with a vibration data collector one typically uses averaging, which means that a number of smples of vibration data are collected and averaged together to provide a better view of what is happening in the machine being monitored over a period of time. More averages may result in better quality data, but it also takes more time to collect. Overlap averaging is a way to make the averaging process more efficient such that one benefits from having more averages but reduces the total amount of time required to collect the data.

VIBRATION ANALYSIS: Peak hold averaging

In this short presentation, Jason Tranter describes peak hold averaging, what it is and how it works.

Peak hold averaging is not normally used for routine vibration analysis, however it is a very useful took if you know that the vibration will change during a test.  The speed may change, the process may change, you may perform a bump test, etc.

Peak hold averaging shows you how high the amplitude became at every frequency during the test - as explained in this video.

VIBRATION ANALYSIS: Spectrum analysis process

OK, you have collected some vibration data and you have a pile of spectral plots. How do you go about analyzing these? What is the methodology or procedure to efficiently go through the data and detect mechanical problems with your rotating machinery? Watch this video to find out.

VIBRATION ANALYSIS: Time Waveform Analysis

This 26-slide presentation will provide an introduction to time waveform analysis.  It describes how to set up your data collector correctly, how to analyze the waveform, and how to diagnose specific fault conditions.

VIBRATION ANALYSIS: Understanding resolution in the FFT vibration spectrum

In this short video, Jason Tranter explains the concept of spectral resolution. When collecting data with an FFT analyzer, the user must select how many lines of resolution to take. It is similar to taking a photo with a digital camera and telling the camera how many mega pixels you want to take. The general issue with resolution is that higher resolution data provides more information (a clearer picture) but it takes longer to collect and more room to store. Lower resolution data may be collected faster and takes less room to store, but you may not be getting the information you expect in the spectrum. So how do you decide how much resolution is enough? Watch the video and find out!

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