SNEAK PEEK
Maintenance and reliability professionals have long relied on condition monitoring to detect early signs of asset degradation and prevent unexpected failures of critical equipment. Tried and true methods such as vibration and temperature monitoring, oil analysis, infrared thermography, and ultrasound inspection enable predictive maintenance during scheduled outages to avoid unplanned downtime. But the early applications typically involved time-consuming inspection rounds and data gathering, often in spreadsheets, for manual analysis. Fortunately, vast technological improvements are helping to eliminate the data silos, integrate and automate data collection and analysis, and better predict and prevent failures.
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