A practical guide to facilitate statistically well-founded decisions
in the management of assets of an electricity grid
Effective and economic electric grid asset management and incident
management involve many complex decisions on inspection, maintenance,
repair and replacement. This timely reference provides statistically
well-founded, tried and tested analysis methodologies for improved
decision making and asset management strategy for optimum grid
reliability and availability.
The techniques described are also sufficiently robust to apply to small
data sets enabling asset managers to deal with early failures or testing
with limited sample sets. The book describes the background, concepts
and statistical techniques to evaluate failure distributions,
probabilities, remaining lifetime, similarity and compliancy of observed
data with specifications, asymptotic behavior of parameter estimators,
effectiveness of network configurations and stocks of spare parts. It
also shows how the graphical representation and parameter estimation
from analysis of data can be made consistent, as well as explaining
modern upcoming methodologies such as the Health Index and Risk Index.
Key features:
- Offers hands-on tools and techniques for data analysis, similarity
index, failure forecasting, health and risk indices and the resulting
maintenance strategies.
- End-of-chapter problems and solutions to facilitate self-study via a
book companion website.
The book is essential reading for advanced undergraduate and graduate
students in electrical engineering, quality engineers, utilities and
industry strategists, transmission and distribution system planners,
asset managers and risk managers.
