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Transformers Magazine, Vol. 13 No. 3, 2026.

Original scientific paper

Confidential information

Richard Heywood
Mohamed Khalil
Tony McGrail

Full text: english pdf 1.254 Kb

page 58-62

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Abstract

Asset health indices are widely used to support maintenance, replacement, and risk-based decisions, but their value depends heavily on the quality, completeness, and interpretation of the data behind them. This column examines why an AHI should not be treated as a single absolute number, especially when input data may be incomplete, outdated, inaccurate, or affected by measurement uncertainty. It discusses the importance of assigning confidence levels to AHI results, supported by subject matter expert review and structured evaluation of available data. The column also considers how statistical approaches, such as Monte Carlo simulation, can help express uncertainty more clearly and support better asset management decisions.

Keywords

asset health indices; AHI confidence; data uncertainty; Monte Carlo simulation

Hrčak ID:

349994

URI

https://hrcak.srce.hr/349994

Publication date:

9.7.2026.

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