The aim of the project is the study, selection, integration and implementation of embedded systems applied to predictive diagnosing breakdowns in machinery that requires autonomy and reliability benefits. The proposed innovation is to identify trends in the state of the machine to detect the types of mechanical vibrations and its equivalent in the electrical oscillations that occur as you approach the fault. This requires continuous monitoring of the signals generated by electrical and mechanical sensors appropriately located.

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