NDLI: Application of Paraconsistent Artificial Neural Network in Statistical Process Control acting on voltage level monitoring in Electrical Power Systems

Content Provider	IEEE Xplore Digital Library
Author	Misseno da Cruz, C. Lambert-Torres, G. Rocco, A. Minoro Abe, J. Conceição Mario, M. Torres, C.R. Vilanova Garcia, D. da Silva Filho, J.I.
Copyright Year	2015
Description	Author affiliation: Methodist Univ. of Sao Paulo, Sao Paulo, Brazil (Torres, C.R.) \|\| Monte Serrat Univ. Center, Santos, Brazil (Misseno da Cruz, C.) \|\| Dept. of R&D, Gnarus Inst., Itajuba, Brazil (Lambert-Torres, G.) \|\| Dept. of Electr. Eng., Santa Cecilia Univ., Santos, Brazil (Rocco, A.; Conceição Mario, M.; Vilanova Garcia, D.; da Silva Filho, J.I.) \|\| Grad. Program in Production, Paulista Univ., Sao Paulo, Brazil (Minoro Abe, J.)
Abstract	In this paper, we present an application of the Paraconsistent Artificial Neural Network (PANnet) in a Statistical Process Control to trigger alarms in an electrical power System. The PANnet is based on Paraconsistent Annotated Logic (PAL) which is a non-classical logic with properties of accepting contradictions in their fundamentals. In this work, we make a joint application technique of Paraconsistent Annotated logic, in the form of PANnet, with the concepts of Statistical Process Control (SPC). The Statistical Process Control Paraconsistent (SCP-PAL) is used in this paper to make a dynamic monitoring of the conditions of the electrical voltage in an electrical power system. To test and validate the functioning of SPC-PAL Controller we use data obtained by random computational processes and we also use a database with actual values generated by a power electrical System of a company installed in Brazil. The SPC-PAL Controller, due to the use of the algorithms of PAL in its construction, has some features that does afford optimized electrical voltage monitoring. The result of the analysis made with the SPC-PAL Controller provides three types of alarms: (1) rapid Variation in the voltage; (2) Imbalance of Mean in the Voltage data; (3) High dispersion index in the voltage data. Based on these three types of alarms we can obtain a better understanding about the operating state of the electrical power system. In the various tests performed, the SPC-PAL Controller presented a good performance and detected changes in Mean and in the variation of tension, as well as sudden changes in voltage data.
Starting Page	1
Ending Page	6
File Size	957274
Page Count	6
File Format	PDF
e-ISBN	9781509001910
DOI	10.1109/ISAP.2015.7325579
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-11
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Statistics process control Process control Electrical Power Systems Artificial neural networks Paraconsistent artificial neural network Power systems Voltage monitoring Voltage control Monitoring Dispersion Erbium Paraconsistent logic
Content Type	Text
Resource Type	Article

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