Title :
Smart phone machinery vibration measurement
Author :
Ginart, Antonio ; Ali, Irfan N. ; Barlas, Irtaza ; Ginart, Antonio A. ; Sheldon, Jeremy S. ; Kalgren, Patrick W. ; Roemer, Michael J.
Author_Institution :
Impact Technol., Rochester, NY, USA
Abstract :
This paper presents a computationally economical algorithm that provides RMS value of vibration velocity calculated using the accelerometer measurements embedded in modern smartphones. This measurement extends the use of smartphones to quickly diagnose the health status of machinery.
Keywords :
accelerometers; condition monitoring; mobile handsets; vibration measurement; RMS value; accelerometer measurement; computationally economical algorithm; machinery health status diagnosis; smart phone machinery vibration measurement; vibration velocity; Acceleration; Accelerometers; ISO standards; Machinery; Smart phones; Vibration measurement; Vibrations;
Conference_Titel :
Aerospace Conference, 2011 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4244-7350-2
DOI :
10.1109/AERO.2011.5747577
