Low-Cost, High-Frequency, Data Acquisition System for Condition Monitoring of Rotating Machinery through Vibration Analysis-Case Study
César Ricardo Soto-Ocampo,
José Manuel Mera,
Juan David Cano-Moreno,
José Luis Garcia-Bernardo
Affiliations
César Ricardo Soto-Ocampo
Railway Technology Research Center (Centro de Investigación en Tecnología Ferroviaria-CITEF), Mechanical Engineering Department, Universidad Politecnica de Madrid, 2 José Gutiérrez Abascal Street, 28006 Madrid, Spain
José Manuel Mera
Railway Technology Research Center (Centro de Investigación en Tecnología Ferroviaria-CITEF), Mechanical Engineering Department, Universidad Politecnica de Madrid, 2 José Gutiérrez Abascal Street, 28006 Madrid, Spain
Juan David Cano-Moreno
Railway Technology Research Center (Centro de Investigación en Tecnología Ferroviaria-CITEF), Mechanical Engineering Department, Universidad Politecnica de Madrid, 2 José Gutiérrez Abascal Street, 28006 Madrid, Spain
José Luis Garcia-Bernardo
Railway Technology Research Center (Centro de Investigación en Tecnología Ferroviaria-CITEF), Mechanical Engineering Department, Universidad Politecnica de Madrid, 2 José Gutiérrez Abascal Street, 28006 Madrid, Spain
Data acquisition is a crucial stage in the execution of condition monitoring (CM) of rotating machinery, by means of vibration analysis. However, the major challenge in the execution of this technique lies in the features of the recording equipment (accuracy, resolution, sampling frequency and number of channels) and the cost they represent. The present work proposes a low-cost data acquisition system, based on Raspberry-Pi, with a high sampling frequency capacity in the recording of up to three channels. To demonstrate the effectiveness of the proposed data acquisition system, a case study is presented in which the vibrations registered in a bearing are analyzed for four degrees of failure.