The loss of insulation capacity caused by pollution deposition on insulator strings can be inferred from the analysis of the electric arcs due to partial discharges on the insulators.The partial discharges also cause pulses superposed to the leakage current signal. An optical sensor system network was developed and installed in the northeast region of Brazil to monitor the degree of pollution deposited over insulator strings of high voltage transmission lines. The monitoring system comprises leakage, humidity and temperature sensors, a processing electronic module and a satellite communication link.They were installed on 230 and 500 kV towers. This paper presents a correlation study comparing the information obtained from the monitoring systems and the electric arc levels obtained by traditional visual inspections. Also the rain events influence the leakage current behavior and a rain pattern recognition system is used in order to better evaluate the leakage current behavior.
Electronic Legal Proceedings are a worldwide legal phenomena, allowing the use of computerized systems for the creation and monitoring of procedural acts in the most diverse legal bodies. On one hand, it allows greater transparency in the conduct of procedural acts, on the other, it has contributed to the bottleneck of open but unresolved lawsuits each year. Nowadays, Information Retrieval to automate the processing of these procedural objects is at the forefront of computer systems for Law. In this study, we present MISLA2, a system to retrieve orders and preliminaries from judicial labour sentences through ontological models built from previous cases. Instead of tied and difficult-to-maintain domain specification models, we demonstrate how light ontologies, in conjunction with regular expressions for extracting significant portions of the text, can achieve the desired results. In addition, empirical experiments carried out with real labour lawsuits evidence that results are quite promising.
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.
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.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.