Home | My Profile | Contact Us
Research Trends Products  |   order gateway  |   author gateway  |   editor gateway  
ID:
Password:
Register | Forgot Password

Author Resources
 Author Gateway
 Article submission guidelines

Editor Resources
 Editor/Referee Gateway

Agents/Distributors
 Regional Subscription Agents/Distributors
 
Current Topics in Electrochemistry   Volumes    Volume 19 
Abstract
Applying autocorrelation functions in the diagnostics of electrochemically induced oscillations
Thomas Z. Fahidy
Pages: 17 - 22
Number of pages: 6
Current Topics in Electrochemistry
Volume 19 

Copyright © 2017 Research Trends. All rights reserved

ABSTRACT
 
The issue whether an oscillation consists of (essentially) white noise or a sequence of autocorrelated observations, is treated in terms of the Box-Pierce Q-statistic based on autocorrelation functions of the oscillatory process. It is a cornerstone of conventional time series analysis. An introductory elementary numerical illustration of its utility in electrochemical science is provided via the destruction of Trimsol cutting oil waste in a commercial-scale anodic oxidation process using an aqueous Ag(II)/nitric acid electrolyte. Existence of strong autocorrelation between adjacent observations of reactant conversion is indicated by the first-order autoregressive model (AR(1)). Numerical discrepancy between two replicate test runs is moderate.
Buy this Article


 
search


E-Commerce
Buy this article
Buy this volume
Subscribe to this title
Shopping Cart

Quick Links
Login
Search Products
Browse in Alphabetical Order : Journals
Series/Books
Browse by Subject Classification : Journals
Series/Books

Miscellaneous
Ordering Information Ordering Information
Downloadable forms Downloadable Forms