Mobius iVibeXL
Mobius iVibeXL is made and published by Mobius Insitute. AppBrain is an independent app data site and isn't affiliated with Mobius Insitute. The app name, icon, screenshots and description belong to Mobius Insitute and are shown as published on the App Store.
AppBrain's verdict
- Last updated
- May 15, 2026
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Releases
Updates seen on the App Store- Version
- 1.2.1
- Launched
- November 2017
No changelog data
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Technology
Found in the app by AppBrain- Price
- Free
- App size
- 38.0 MB
- Content rating
- Everyone
Technologies used by Mobius iVibeXL
About the app and developer
About Mobius iVibeXL
Mobius iVibeXL is an education app developed by Mobius Insitute.
What is the rating of Mobius iVibeXL?
Mobius iVibeXL has no ratings yet.
Is Mobius iVibeXL free?
Mobius iVibeXL is free. The app size is 38.04 MB. The latest version available is 1.2.1. The last update was on May 15, 2026.
What are the requirements for Mobius iVibeXL?
The app has a content rating of Everyone. The app has been available on the App Store since November 2017.
Developer information for Mobius Insitute
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Store listing
By Mobius Insitute, from the App StoreDescription by Mobius Insitute Written by the developer, not by AppBrain. Click to read.
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. And this is just the beginning!