Is it true that failure information can be correlated with data such as PMs to limit future asset failures?

The statement is indeed true, as failure information can be effectively correlated with preventive maintenance (PM) data to reduce the likelihood of future asset failures. When historical failure data is analyzed alongside PM records, it provides valuable insights into which maintenance activities are most effective and which failures are likely to occur under similar circumstances in the future. This correlation allows organizations to adjust their maintenance strategies, schedule more targeted PMs, and ultimately enhance asset reliability.

By understanding the relationships between different types of data—such as when failures occur, the conditions under which they happen, and how PM practices can mitigate these issues—companies can create a more proactive maintenance program. This approach not only helps in predicting and preventing failures but also optimizes resource allocation and extends the lifespan of assets.

The other response options suggest limitations that do not reflect the broader applicability of correlating failure information with PM data. For instance, asserting that it depends on the asset or that it's only applicable to critical assets undermines the fundamental principle that maintenance practices can be enhanced through data analysis across all types of assets, not just limited situations.