Combination of Unquantization Technique and Empirical Modeling for Industrial Applications

摘要

When empirical models and OLM techniques built in the lab come to real industry application, the performance may not be as robust. One of the reasons is that quantized signals are prevalent in industry. Currently, interpolation is used in industry; however, as shown in this paper, this method may not be ideal. This problem restricts the progress of applications of empirical prognostic modeling and OLM in industry. This paper provides a possible solution by combining the Spectral Synthesis unquantization technique and empirical modeling together.