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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

2020Sensors38 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Data acquisitionVibrationSampling (signal processing)Computer scienceBearing (navigation)Condition monitoringReal-time computingData samplingRaspberry piEngineeringComputer hardwareSimulationEmbedded systemAcousticsElectrical engineeringArtificial intelligenceTelecommunicationsDetectorInternet of ThingsOperating systemPhysicsMachine Fault Diagnosis TechniquesFault Detection and Control SystemsStructural Health Monitoring Techniques