TY - GEN
T1 - Prediction of power equipment failures based on chronological failure records
AU - Djurić, Petar M.
AU - Begović, Miroslav M.
AU - Perkel, Joshua
PY - 2006
Y1 - 2006
N2 - When power utility asset managers are facing the task of resource planning for future deployment, often times, only partial information is available: installation dates and amounts, as well as failure and replacement rates. By combining records on yearly populations of the components, estimation of failure model parameters may be possible. Parametric models may then be used for forecasting of the system's short term future failure rates and for formulation of replacement strategies. We employ the Weibull distribution and show how we estimate its parameters from past failure data. With the obtained estimates, we forecast future failures and keep on improving the estimates as new data become available.
AB - When power utility asset managers are facing the task of resource planning for future deployment, often times, only partial information is available: installation dates and amounts, as well as failure and replacement rates. By combining records on yearly populations of the components, estimation of failure model parameters may be possible. Parametric models may then be used for forecasting of the system's short term future failure rates and for formulation of replacement strategies. We employ the Weibull distribution and show how we estimate its parameters from past failure data. With the obtained estimates, we forecast future failures and keep on improving the estimates as new data become available.
UR - https://www.scopus.com/pages/publications/34547257201
M3 - Conference contribution
SN - 0780393902
SN - 9780780393905
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 1207
EP - 1210
BT - ISCAS 2006
T2 - ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems
Y2 - 21 May 2006 through 24 May 2006
ER -