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Quantifying the level of nonlinear distortions and time-varying effects in frequency response function measurements is a first step toward the selection of an appropriate parametric model structure. In this paper,… Click to show full abstract
Quantifying the level of nonlinear distortions and time-varying effects in frequency response function measurements is a first step toward the selection of an appropriate parametric model structure. In this paper, we tackle this problem in the presence of missing data, which is an important issue in large-scale low-cost wireless sensor networks. The proposed method is based on one experiment with a special class of periodic excitation signals.
Keywords:
measurements subject;
varying effects;
missing data;
frf measurements;
time varying
Journal Title: IEEE Transactions on Instrumentation and Measurement
Year Published: 2019
Link to full text (if available)
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Journal Title: IEEE Transactions on Instrumentation and Measurement
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!