Practical Implications of Machine Learning (ML) — Important Questions
ICSE · Class 12 · Artificial Intelligence
70 important questions from Practical Implications of Machine Learning (ML) for ICSE Class 12 Artificial Intelligence, with answers.
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Important Questions from Practical Implications of Machine Learning (ML)
Which real-time equipment data can networked IoT sensors collect for predictive maintenance?
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Vibration, temperature, and oil quality
Networked IoT sensors collect real-time equipment data such as vibration, temperature, and oil quality.
What do AI and ML algorithms do with IoT data in predictive maintenance?
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Analyze historical information and patterns to identify anomalies and predict failures
AI and ML use historical information and patterns to find anomalies and predict likely failures.
Which is a benefit of predictive maintenance for businesses?
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Reduced maintenance costs because maintenance is performed only when necessary
PdM reduces waste by carrying out maintenance only when it is needed.
Which technique is used to detect issues in rotating machinery?
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Vibration analysis
Vibration analysis is a predictive maintenance technique used to detect problems in rotating machinery.
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