The paper highlights the fundamental importance of correct data selection and storage for the quality of Asset Management demanded for today’s water industry infrastructure.

In developing this theme, the concept of Risk driven maintenance is introduced to focus attention on those issues that not only the identify the appropriate data to be collected and stored, but also, by way of illustrated examples, the direct relevance and application of reliability engineering principles in Risk Analysis.

The author’s principle objective is to demonstrate that the historical data on reliability, condition and performance must be supported with detailed costing information if any worthwhile outcomes are to be forthcoming from analysis.

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