On Deterministic Chaos in Microdischarge Phenomena

In this work, the application of nonlinear invariants and phase space methods for Partial Discharge (PD) analysis are discussed and potential pitfalls are identified. Unsupervised statistical inference techniques based on the use of surrogate data sets are proposed and employed for the purpose of testing the applicability of nonlinear algorithms and methods. The Generalized Hurst Exponent and Lempel-Ziv Complexity are used for finding the location of the system under test on the spectrum between determinism and stochasticity. The surrogate generation method is shown to produce phase-resolved relations with high correspondence with the original sets and the nonlinear invariants employed are found to have strong classification abilities at discerning between surrogates and original point series.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

On Deterministic Chaos in Microdischarge Phenomena

Abstract: Time series of pulsating microdischarges were analysed. The results showed that deterministic chaos is present in these series. The estimated values of the correlation coefficients indicated a strong chaotic discharge behaviour.

Cited by 2 publications

References 6 publications

On the applicability of nonlinear time series methods for partial discharge analysis

On the applicability of nonlinear time series methods for partial discharge analysis

On the applicability of nonlinear time series methods for partial discharge analysis

Contact Info

Product

Resources

About