Abstract
Today, instrumentation plays an essential role within Industry 4.0, integrating elements and technologies at the forefront of the industrial world such as the Internet of Things (IoT), Cloud Computing, Business Intelligence, or Cybersecurity, among others. Thinking about the Industrial Internet of Things (IIoT), it is looking for the highest number of systems to be connected to the Internet and provide reports on their work, performance, condition, temperature, levels, etc. to improve production processes, save energy, reduce costs, among others. Regarding the maintenance and condition of the machines, currently in the literature, there are several works about the detection of faults or possible failures in the short term in the systems, that intend to plan preventive or corrective maintenance. All of this implies a high development of signal processing and decision-making algorithms. In this paper, a description related to bearing and broken rotor fault detection in induction motors for con-dition-based maintenance is presented.
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