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feat: new article
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_posts/-_ideas/2030-01-01-new_articles_topics.md

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@@ -19,9 +19,6 @@ There are several interesting article topics you can explore under the umbrella
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- **Overview**: Explain what predictive maintenance (PdM) is and how it differs from preventive and reactive maintenance.
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- **Focus**: Basic techniques and traditional approaches to predictive maintenance, including time-based and condition-based maintenance strategies.
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### 2. The Role of Data Science in Predictive Maintenance
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- **Overview**: Explore how data science methods, such as statistical analysis and predictive modeling, enable organizations to forecast failures and optimize maintenance schedules.
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- **Focus**: Key data science techniques used in PdM, such as regression, anomaly detection, and clustering.
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### 3. How Big Data is Transforming Predictive Maintenance
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- **Overview**: Discuss how the vast amounts of data generated by IoT sensors, machinery, and operational systems contribute to more accurate predictions and better decision-making.

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