Machines Fault Detection 2.0
Free Version
Publisher Description
Diagnostics technologies are used to increase rotating machines efficiency in energy systems by detecting upcoming faults. Small rotating machines usually do not have on board diagnostic units. Portable diagnostic units are expensive and require very detailed information about monitored machinery, from the diameter of rolling elements in the bearings, to the number of rotor bars. Therefore, there is an area of opportunity to develop a low cost diagnostic unit that does not require detailed machine information. Modern smartphones seems suitable for this task because they have built-in acoustic and vibration data acquisition and considerable computing capacity. However, they have hardware limitations compared to state-of-the-art diagnostic units such as data sampling rate and sensors sensitivity.
A set of induction motors are tested in both, healthy and faulty conditions (unbalanced rotor, damaged bearings and broken rotor bars) to analyze vibration and acoustic signals recorded with a smartphone. Then, recorded data is analyzed to identify healthy and faulty emissions signatures. A total of roughly 85 minutes of acoustic emissions and around 125 minutes of vibration data are recorded along all different operating conditions. Results show that it is possible to estimate machine rotational speed and detect faults with the smartphone recordings. Acoustic emissions’ faulty signature is located between 4 KHz – 8 KHz in the form of high magnitude frequency clusters and speed can be estimated using mechanical rotational frequency harmonics present between 100 Hz- 1 KHz. Similarly Vibration faulty signature is located along the frequency spectrum in the form of high magnitude peaks and rotational speed can be estimated by using peak vibration frequency. Finally a fully functional Android application was develop based on test results to automatically detect motor speed and health status. Validation testing showed 90% accuracy in fault detection.
About Machines Fault Detection
Machines Fault Detection is a free app for Android published in the System Maintenance list of apps, part of System Utilities.
The company that develops Machines Fault Detection is Mario Recio. The latest version released by its developer is 2.0.
To install Machines Fault Detection on your Android device, just click the green Continue To App button above to start the installation process. The app is listed on our website since 2014-09-08 and was downloaded 12 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded app with your antivirus. Your antivirus may detect the Machines Fault Detection as malware as malware if the download link to com.mrecio.machinesfaultdetection is broken.
How to install Machines Fault Detection on your Android device:
- Click on the Continue To App button on our website. This will redirect you to Google Play.
- Once the Machines Fault Detection is shown in the Google Play listing of your Android device, you can start its download and installation. Tap on the Install button located below the search bar and to the right of the app icon.
- A pop-up window with the permissions required by Machines Fault Detection will be shown. Click on Accept to continue the process.
- Machines Fault Detection will be downloaded onto your device, displaying a progress. Once the download completes, the installation will start and you'll get a notification after the installation is finished.
