Which of the following would be a positive outcome associated with performing a trend analysis of data acquired from lube oil testing, vibration sensors, performance data sensors, and thermographic sensors? I) Avoidance of catastrophic failures. II) Determining the need of when to perform corrective maintenance. III) Improving the overall effectiveness of the engineering plant.
• 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
• 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.
• 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.
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