TY - GEN
T1 - Specialist tool for monitoring the measurement degradation process of induction active energy meters
AU - Silva, M. R.
AU - Galotto, L.
AU - Pinto, J. O.P.
AU - Canesin, C. A.
AU - Cardoso, E. H.
AU - Amorim, S.
AU - Mertens, E. A.
PY - 2011
Y1 - 2011
N2 - This paper presents a methodology and a specialist tool for failure probability analysis of induction type watt-hour meters, considering the main variables related to their measurement degradation processes. The database of the metering park of a distribution company, named Elektro Electricity and Services Co., was used for determining the most relevant variables and to feed the data in the software. The modeling developed to calculate the watt-hour meters probability of failure was implemented in a tool through a user friendly platform, written in Delphi language. Among the main features of this tool are: analysis of probability of failure by risk range; geographical localization of the meters in the metering park, and automatic sampling of induction type watt-hour meters, based on a risk classification expert system, in order to obtain information to aid the management of these meters. The main goals of the specialist tool are following and managing the measurement degradation, maintenance and replacement processes for induction watt-hour meters.
AB - This paper presents a methodology and a specialist tool for failure probability analysis of induction type watt-hour meters, considering the main variables related to their measurement degradation processes. The database of the metering park of a distribution company, named Elektro Electricity and Services Co., was used for determining the most relevant variables and to feed the data in the software. The modeling developed to calculate the watt-hour meters probability of failure was implemented in a tool through a user friendly platform, written in Delphi language. Among the main features of this tool are: analysis of probability of failure by risk range; geographical localization of the meters in the metering park, and automatic sampling of induction type watt-hour meters, based on a risk classification expert system, in order to obtain information to aid the management of these meters. The main goals of the specialist tool are following and managing the measurement degradation, maintenance and replacement processes for induction watt-hour meters.
KW - Artificial intelligence
KW - Expert system for sampling
KW - Hazard rate
KW - Induction type Watt-hour meters
KW - Risk Model
UR - http://www.scopus.com/inward/record.url?scp=84857715444&partnerID=8YFLogxK
U2 - 10.1109/EPQU.2011.6128831
DO - 10.1109/EPQU.2011.6128831
M3 - Conference contribution
AN - SCOPUS:84857715444
SN - 9781467303798
T3 - Proceeding of the International Conference on Electrical Power Quality and Utilisation, EPQU
SP - 541
EP - 546
BT - 11th International Conference on Electrical Power Quality and Utilisation, EPQU 2011
T2 - 11th International Conference on Electrical Power Quality and Utilisation, EPQU 2011
Y2 - 17 October 2011 through 19 October 2011
ER -