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The Case for AI Powered Automated Tribometry in Industrial Reliability Quiz

Posted on April 20, 2026 by

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Question 1 of 7
1. Question
Which element best enables the experimental planner to balance exploration and exploitation when mapping friction and wear?
Random sampling of the design space
Full factorial testing across all variables
Bayesian optimization with an acquisition function
Shortening all tests to the same duration
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Question 2 of 7
2. Question
In the closed loop framework, what role do physics-informed models primarily serve?
They eliminate the need for any experimental data
They replace maintenance records in prioritization
They are used only to validate sensor calibrations
They provide constraints and priors to guide learning and extrapolation
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Question 3 of 7
3. Question
Which signal combination most reliably flags impending scuffing during adaptive tests?
Stable friction and steady temperature
A slow decrease in ambient humidity
A gradual drop in spindle speed
Debris count spikes and high frequency vibration increases
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Question 4 of 7
4. Question
What is the primary benefit of propagating both epistemic and aleatory uncertainty to lifecycle cost models?
All tests can be stopped after the first run
It standardizes lubricant naming across suppliers
Calibration can be skipped for low risk assets
Decisions include risk bounds and sensitivity to variability
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Question 5 of 7
5. Question
Which practice most directly improves reproducibility in automated tribometry campaigns?
Allowing operators to adjust settings ad hoc
Versioning protocols and keeping golden runs for comparison
Skipping surface preparation to save time
Using only one type of sensor per test
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Question 6 of 7
6. Question
How should lab recommendations be operationalized to maximize impact on reliability?
Send an email summary without system integration
Wait for annual shutdowns before any changes
Publish updates to maintenance tasks through CMMS and capture outcomes
Only recommend design changes, not maintenance actions
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Question 7 of 7
7. Question
In the lubricant screening case, what strategy cut bench time while preserving confidence?
Ranking lubricants by supplier reputation
Testing short, highly discriminating duty segments and using surrogates to project
Eliminating cold start tests to focus on steady state
Running the full endurance profile on every candidate
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