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Montoye, H.J., Washburn, R., Servais, S., Ertl, A., Webster, J.G. and Nagle, F.J. (1983) Estimation of Energy Expenditure by a Portable Accelerometer. Medicine & Science in Sports & Exercise, 15, 403–407.
http://dx.doi.org/10.1249/00005768-198315050-00010

has been cited by the following article:

• 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.