Application of Fast Dynamic Allan Variance for the Characterization of FOGs-Based Measurement While Drilling
AbstractThe stability of a fiber optic gyroscope (FOG) in measurement while drilling (MWD) could vary with time because of changing temperature, high vibration, and sudden power failure. The dynamic Allan variance (DAVAR) is a sliding version of the Allan variance. It is a practical tool that could represent the non-stationary behavior of the gyroscope signal. Since the normal DAVAR takes too long to deal with long time series, a fast DAVAR algorithm has been developed to accelerate the computation speed. However, both the normal DAVAR algorithm and the fast algorithm become invalid for discontinuous time series. What is worse, the FOG-based MWD underground often keeps working for several days; the gyro data collected aboveground is not only very time-consuming, but also sometimes discontinuous in the timeline. In this article, on the basis of the fast algorithm for DAVAR, we make a further advance in the fast algorithm (improved fast DAVAR) to extend the fast DAVAR to discontinuous time series. The improved fast DAVAR and the normal DAVAR are used to responsively characterize two sets of simulation data. The simulation results show that when the length of the time series is short, the improved fast DAVAR saves 78.93% of calculation time. When the length of the time series is long (
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Wang, L.; Zhang, C.; Gao, S.; Wang, T.; Lin, T.; Li, X. Application of Fast Dynamic Allan Variance for the Characterization of FOGs-Based Measurement While Drilling. Sensors 2016, 16, 2078.
Wang L, Zhang C, Gao S, Wang T, Lin T, Li X. Application of Fast Dynamic Allan Variance for the Characterization of FOGs-Based Measurement While Drilling. Sensors. 2016; 16(12):2078.Chicago/Turabian Style
Wang, Lu; Zhang, Chunxi; Gao, Shuang; Wang, Tao; Lin, Tie; Li, Xianmu. 2016. "Application of Fast Dynamic Allan Variance for the Characterization of FOGs-Based Measurement While Drilling." Sensors 16, no. 12: 2078.
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