TITLE:
Frequency Features Based Fuzzy System for Rotating Machinery Vibration Analysis Using Smartphones Low-Cost MEMS Sensors
AUTHORS:
Abdelrahman Ali, Kamel El-Serafi, Salwa A. K. Mostafa, Naser El-Sheimy
KEYWORDS:
Vibration Analysis, Low-Cost Sensors, Fuzzy Logic, Frequency Analysis
JOURNAL NAME:
Journal of Sensor Technology,
Vol.6 No.3,
August
23,
2016
ABSTRACT: Smart devices have become an important entity for many applications in daily life
activities. These devices have witnessed a rapid improvement in its technology to
fulfill the increasingly diverse usage demands. In the meanwhile, rotating machinery
vibration analysis based on low-cost sensors has gained a considerable attraction over
the last few years. For a long time, the vibration analysis of machines has been accepted
as an effective solution to detect and prevent failures in complex systems to
avoid the sudden malfunction. The objective of this work is to use MEMS accelerometer
measurements to monitor the different level of vibration of a machine. This
work presents a new technique for rotating machinery vibration analysis. It uses Fast
Fourier Transformation as a feature extraction algorithm and Fuzzy Logic System
(FLS) as the classifier algorithm. A smartphone accelerometer is used to collect the
data from the vibrating machine. The performance of the proposed technique is
tested using data from different vibration resources at a different speed of operations.
The results are discussed to illustrate the various vibration levels.