Maintenance Technology June 2017 - 14
Future of Predictive
Critical-asset data can help identify failures before they occur to avoid downtime
and protect the bottom line.
IF YOU COULD SEE into the future, you would never
miss a production target, endure a safety incident, or have a
machine go down. Unfortunately, unless we somehow gain
the power of clairvoyance, this fantasy will forever be out of
our reach. While we may not be able to see into the future,
we can predict it.
By adopting a predictive-maintenance (PdM) strategy, you
can mine your critical-asset data and identify anomalies or
deviations from their standard performance. Such insights
can help you discover and proactively fix issues days, weeks,
or even months before they lead to failures. This can help you
avoid unplanned downtime, reduce industrial maintenance
overspend, and mitigate safety and environmental risks.
The case for predictive maintenance
The sudden loss of a critical industrial asset can be devastating. It can result in unplanned stoppages and maintenance
that eat away at your bottom line, while production remains
at a standstill. This was the situation for one company
operating an oil-sands mine in Canada. The company had to
shut down the operation after detecting vibrations in an ore
crusher, resulting in a weeks-long production stoppage that