Comparison of Software Defined Radio Techniques and Smart Metering Devices for Predictive Maintenance Applications
The paper compares two approaches for generating input data for Predictive Maintenance systems. Smart meters are commonly used in industrial applications and could also be used for adopting Predictive Maintenance. The second approach uses Software Defined Radios outside of their traditional application field, because of their high flexibility. The existing Software Defined Radio tool chains for signal processing can be easily adopted to generate and process input data for Predictive Maintenance algorithms. Besides the theoretical comparison and discussion of these two approaches, a concept for the practical evaluation is presented.