Prediction of power equipment failures based on chronological failure records Conference Paper

abstract

• 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

name of conference

• 2006 IEEE International Symposium on Circuits and Systems

authors

• Begovic, Miroslav

published proceedings

• 2006 IEEE International Symposium on Circuits and Systems

author list (cited authors)

• P. M. Djuric, .., M. M. Begovic, .., & J. Ferkel.

complete list of authors

publication date

• January 2006

published in

• IEEE International Symposium on Circuits and Systems proceedings. IEEE International Symposium on Circuits and Systems  Journal

keywords

• Asset Management
• Chronological Failure Record
• Energy Management
• Engineering Management
• Estimation Theory
• Failure Model Parameter Estimation
• Failure Rate
• Maintenance Engineering
• Parametric Model
• Power Apparatus
• Power Engineering And Energy
• Power Engineering Computing
• Power Equipment Failure
• Power System Faults
• Power System Planning
• Predictive Models
• Remaining Life Assessment
• Replacement Strategy
• Resource Management
• Resource Planning
• Stress
• Technology Management
• Weibull Distribution

start page

• 4 pp.

end page

• 1210