Detrended fluctuation analysis of the magnetic and electric field variations that precede rupture
arXiv:0904.2465 · doi:10.1063/1.3130931
Abstract
Magnetic field variations are detected before rupture in the form of `spikes' of alternating sign. The distinction of these `spikes' from random noise is of major practical importance, since it is easier to conduct magnetic field measurements than electric field ones. Applying detrended fluctuation analysis (DFA), these `spikes' look to be random at short time-lags. On the other hand, long range correlations prevail at time-lags larger than the average time interval between consecutive `spikes' with a scaling exponent around 0.9. In addition, DFA is applied to recent preseismic electric field variations of long duration (several hours to a couple of days) and reveals a scale invariant feature with an exponent over all scales available (around five orders of magnitude).
Submitted to CHAOS
References in corpus (3)
Cited by in corpus (11)
- Effect of extreme data loss on long-range correlated and anti-correlated signals quantified by detrended fluctuation analysis
- Multifractal characterization of gold market: a multifractal detrended fluctuation analysis
- Persistence in Complex Systems
- Order parameter fluctuations in natural time and b-value variation before large earthquakes
- Effect of significant data loss on identifying electric signals that precede rupture by detrended fluctuation analysis in natural time
- Estimating the compressibility of osmium from recent measurements of Ir-Os alloys under high pressure
- On the motivation and foundation of Natural Time Analysis: Useful remarks
- Fractal and Multifractal Analysis of the Rise of Oxygen in Earth's Early Atmosphere
- Bulk moduli of PbSSe, PbSTe, and PbSeTe from the combination of the model with the modified Born theory compared to generalized gradient approximation
- In connection with identification of VLF emissions before L'Aquila earthquake
- A paradigm for developing earthquake probability forecasts based on geoelectric data