🔍 Key Concepts
• Trend analysis as part of a preventive/predictive maintenance program
• What lube oil testing, vibration, performance, and thermographic data actually tell you about machinery condition over time
• How better information about equipment condition might affect failures, maintenance timing, and plant effectiveness/efficiency
💭 Think About
• For each statement (I, II, III), ask: ‘Could long-term trends in these sensor and test results reasonably support this outcome?’
• Think about the difference between reacting after a breakdown versus using data to see problems developing early—what outcomes does that change?
• Consider whether some of these outcomes are direct results of trend analysis, and whether any might be more of a secondary/indirect benefit.
✅ Before You Answer
• For statement I, check whether early detection of degrading conditions from these tests could reasonably help avoid catastrophic failures.
• For statement II, ask if having trend lines over time would improve your ability to decide when to do corrective maintenance instead of relying only on fixed intervals.
• For statement III, consider whether using all this condition data could logically improve overall plant effectiveness (reliability, availability, efficiency), or if that goes beyond what trend analysis can realistically influence.