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The aim of this paper is to develop a methodology that makes it possible to take advantage of power transformer operators' knowledge in order to reach a better control of process of preventive maintenance (PM). The main idea is to construct probabilistic models using a Bayesian approach along with an age reduction model in order to compensate for both the lack of failure data on the maintained system...
In an ageing electricity distribution infrastructure as found in many countries, measuring the impact of maintenance is becoming increasingly important. A realistic maintenance impact model will permit to improve existing maintenance strategies. This paper addresses this issue from a risk management perspective. The first part gives a short review of some of the existing mathematical models that are...
There is an increasing trend towards using the concept of risk assessment as an important tool in distribution system asset management. In an ongoing R&D project (RISK DSAM), the main objective is to investigate how information about risk exposure can improve maintenance and reinvestment decisions in an electrical distribution company. As the popularity of Bayesian networks (BN) is increasing,...
During the last 30 years, EDF has acquired a thorough experience in modelling reliability and safety of nuclear power plants. Relying on this experience, R&D division decided to carry out reliability studies of electrical systems in order to optimise EDF's electrical network asset management. But this type of system, usually with stand-by redundancies, is difficult to treat with classic reliability...
The aim of this paper is to present aspects of the maintenance policies of substations and electrical equipment, and experience feedback method in the EDF's distribution network (MV and LV) and the RTE's network (VHV, HV). EDF has tested reliability-centered maintenance (RCM), with a view to improving EDF maintenance policies and adapting them to the company's new goals of improving supply safety...
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