Predictive Maintenance of Rotating Machines using Arduino Platform

Predictive maintenance plays an important role in modern industry. This type of maintenance depends on analyzing the results of vibrations caused by the machines. The present work aims to implement this type of maintenance with the help of Arduino platform and its sensors. This allows reading and analyzing vibrations with a low cost and easy to use. Also the results of analysis can be easily done on computer or modern smartphones and tablets. In addition, the results of the vibration analyzes are compared to ISO 10816-1 to see how the machine is performing and is it satisfied or not. This method has been applied to number of case studies of different machines. The results has showed that the root mean square value of cases studies are varying from 0.4597 to 0.74355. These results located in good and satisfactory region for class 1 in ISO 10816-1