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Mobius iVibe

Mobius iVibe provides an easy way to look up machine fault conditions based on spectrum symptoms and machine types

Mobius iVibe provides an easy way to look up machine fault conditions based on spectrum symptoms and machine types

Mobius iVibe

by Mobius Insitute
Mobius iVibe
Mobius iVibe
Mobius iVibe

What is it about?

Mobius iVibe provides an easy way to look up machine fault conditions based on spectrum symptoms and machine types. You’ll see sample spectra, explanations of faults, and explanations of how to diagnose fault conditions. It is like a wall chart for your iPhone/iPod Touch.

Mobius iVibe

App Details

Version
2.0
Rating
(8)
Size
39Mb
Genre
Education
Last updated
November 14, 2017
Release date
December 20, 2011
More info

App Screenshots

Mobius iVibe screenshot-0
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App Store Description

Mobius iVibe provides an easy way to look up machine fault conditions based on spectrum symptoms and machine types. You’ll see sample spectra, explanations of faults, and explanations of how to diagnose fault conditions. It is like a wall chart for your iPhone/iPod Touch.

1. Select from a list of symptoms and drill down to find machine faults

2. Select from a list of machine types and drill down to see the likely faults

3. Select from a list of fault types and drill down to see sample spectra.

4. Or just scroll through 80 spectral images.


When you see a spectrum (often with phase information and a machine image) you can swipe up and down to see other similar spectra, or swipe left and right to see a page of details, and a page of diagnostic information (how to be sure the diagnosis is correct).

Here are a few more details:

1. Select from a list of symptoms (high 1X, high 2X, harmonics, etc.) and drill down to find machine faults that might be a match (unbalance, misalignment, looseness, etc.)

2. Select from a list of machine types (motor, bearings, pumps, etc.) and drill down to see the likely faults (broken rotor bars, wear, cavitation, etc.)

3. Select from a list of fault types (unbalance, misalignment, looseness, etc.) and drill down to see sample spectra.

4. Or you can just scroll through 80 spectral images until you find what you want.


It is cool. It is helpful. It is inexpensive. And this is just the beginning!

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