Practical Implications of Machine Learning (ML)
ICSE · Class 12 · Artificial Intelligence
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What are the three main practical implications of Machine Learning in this chapter?
Answer
The three main practical implications are Predictive Maintenance, Fraud Detection, and Medical Diagnosis. These show how ML helps in industry, finance, and healthcare by finding patterns in data and s…
What is Predictive Maintenance (PdM)?
Answer
Predictive Maintenance is a strategy that uses data analysis and Artificial Intelligence to estimate when equipment is likely to fail, so maintenance can be scheduled just before failure occurs. It he…
Why is Predictive Maintenance better than fixed-schedule maintenance in many cases?
Answer
Predictive Maintenance uses the actual condition of equipment in real time, instead of following a fixed schedule. This makes maintenance more timely, reduces unnecessary part replacement, lowers cost…
How does Predictive Maintenance work in a continuous loop?
Answer
It works through a loop of monitoring, analysis, and action. IoT sensors collect real-time data, ML and AI analyze the data for anomalies and failure patterns, and then maintenance action is planned a…
What kind of data do IoT sensors collect for Predictive Maintenance?
Answer
Networked IoT sensors collect real-time equipment data such as vibration, temperature, and oil quality. This data helps in detecting early signs of wear, overheating, or other problems.
What role do AI and ML play in Predictive Maintenance?
Answer
AI and ML analyze IoT data using historical information and patterns to identify anomalies and predict failures. This helps in finding the best time for maintenance and avoiding sudden machine breakdo…
Name four benefits of Predictive Maintenance.
Answer
Predictive Maintenance reduces maintenance costs, minimizes downtime, extends equipment lifespan, and improves safety. It also helps with better planning and resource allocation.
What are vibration analysis, infrared thermography, oil analysis, and AI-powered anomaly detection used for?
Answer
These are tools and techniques used in Predictive Maintenance. Vibration analysis detects problems in rotating machinery, infrared thermography identifies overheating components, oil analysis detects …
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