Signal processing using a statistical algorithm for vibration measurement with a self‐coupling effect sensor

In this paper, signal processing using a statistical algorithm for vibration measurement is reported. The algorithm uses the statistical features of the standard deviation of sinusoidal vibration and is capable of accuracy superior to the peak-to-peak method. Additionally, the algorithm achieves accuracy as good as or better than the FFT method with less hardware. This method gave good results in simulations and actual measurement values. The method is widely applied in self-coupling effect sensors and other vibration sensors. © 2013 Wiley Periodicals, Inc. Electron Comm Jpn, 96(3): 9–16, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11454.