While applicable to all engineering, their work is particularly synonymous with power system reliability, categorized into three hierarchical levels:
This converts reliability into money (outage cost × EENS = budget justification).
where ( \lambda ) is the component failure rate and ( \lambda_s ) the switch failure rate. However, this closed-form solution assumes perfect sensing and no switching delay. How does one evaluate the reliability of this solution when applied to real-world systems?
The seminal work by Roy Billinton and Ronald N. Allan serves as the foundational text for modern probabilistic reliability assessment. First published in 1983, the book shifted the engineering paradigm from rigid, deterministic "worst-case" planning to a nuanced, stochastic approach that accounts for the inherent uncertainty in component failures and system performance. Core Philosophy and Scope
