VibraUnits vs Mobius iVibeXL

VibraUnits converts amplitudes of the most commonly used units in mechanical vibration analysis. The vibration equations used for changing units between displacement-velocity-acceleration only apply to vibration occurring at a discrete frequency (sinusoidal waves). Features: - Conversion between velocity, acceleration and displacement - Frequency conversion between Hz and CPM - Displacement conversion between mils and microns (RMS, 0-peak & peak-peak) - Velocity conversion between inch/s and mm/s (RMS, 0-peak & peak-peak) - Acceleration conversion between G's and m/s^2 (RMS, 0-peak & peak-peak) Disclaimer: This app is intended for educational purposes, although the calculations were made with great care, it may contain errors or inaccuracies. Using the results of the calculations is the responsibility of the user.

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. And this is just the beginning!