Advances, Systems and Applications
Table 2 Augmented Dickey-Fuller (ADF) Test Results: The results show that all of six time-series are found to be stationary of being statistically significant owing to p-value \(\le 0.05\) (\(95 \%\) confidence level), which indicates evidence against the null hypothesis \(H_0\)
Time Series | ADF statistic | P-value | Critical Value (5%) |
|---|---|---|---|
x-acc (Normal) | -4.629 | \(1.1 \times 10^{-4}\) | -2.871 |
y-acc (Normal) | -6.137 | \(8.1 \times 10^{-8}\) | -2.871 |
x-acc (Counter Wind) | -6.486 | \(1.2 \times 10^{-8}\) | -2.871 |
y-acc (Counter Wind) | -5.839 | \(3.8 \times 10^{-7}\) | -2.871 |
x-acc (Mechanical Failure) | -4.577 | \(1.4 \times 10^{-4}\) | -2.871 |
y-acc (Mechanical Failure) | -4.459 | \(2.3 \times 10^{-4}\) | -2.871 |