Which of the following condition-based...

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Question 1 of 2066636eee28f7522a1c51e95f

Which of the following condition-based maintenance data continuous monitoring techniques has the greatest value in predicting wear?

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Question 1 of 20

66636eee28f7522a1c51e95f

Which of the following condition-based maintenance data continuous monitoring techniques has the greatest value in predicting wear?

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🔍 Key Concepts

• Condition-based maintenance (CBM) focuses on monitoring equipment condition rather than fixed time intervals • Different techniques detect different kinds of developing faults: mechanical wear, lubrication breakdown, overheating, or leaks • Which method shows early changes in mechanical condition and balance of rotating machinery over time

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• Ask yourself: which technique most directly shows changes in how smoothly bearings, gears, and rotating parts are running as they wear? • Which method is commonly trended over time on pumps, motors, and turbines to catch misalignment or bearing damage before failure? • Which option is especially valuable for detecting imbalance, looseness, and bearing defects that come from physical wear?

✅ Before You Answer

• Identify which method is best at detecting misalignment, imbalance, and bearing defects in rotating machinery • Decide which technique is most often used for trending mechanical deterioration over time, not just temperature or fluid quality • Make sure you separate methods that mainly detect heat or fluid contamination from the one that best tracks changes in mechanical motion due to wear

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Question 1 of 2066636eee28f7522a1c51e95f

Which of the following condition-based maintenance data continuous monitoring techniques has the greatest value in predicting wear?

Back

Question 1 of 20

66636eee28f7522a1c51e95f

Which of the following condition-based maintenance data continuous monitoring techniques has the greatest value in predicting wear?

No comments yet

Be the first to share your thoughts!

If the question has a related picture, it will appear here.

🔍 Key Concepts

💭 Think About

✅ Before You Answer

👋 Hi! I'm Genie, your AI study assistant. How can I help you with this question?

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