Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing [Hardcover]

Data Analytics and Artificial Intelligence (AI) play an important role in Predictive Maintenance (PdM) within the manufacturing industry. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries.

1. Introduction to Machine Learning Fundamentals. 2. AI Applications in Production. 3. Data Analytics and Artificial Intelligence for Predictive Maintenance in Manufacturing. 4. Scalability and Deployment of Emerging Technologies in Predictive Maintenance. 5. AI Models for Predictive Maintenance. 6. Role of Machine Learning and Deep Learning Models for Predictive Maintenance. 7. Data Analytics and AI for Predictive Maintenance in Pharmaceutical Manufacturing. 8. Real-Time Violence Detection in Video Streams: Exploiting ResNet-50 for Enhanced Accuracy. 9. The Analytics Advantage: Sculpting Tomorrows Decisions Today. 10. Using Ensemble Model to Reduce Downtime in Manufacturing Industry: An Advanced Diagnostic Framework for Early Failure Detection. 11. Use Cases of Digital Twin in Smart Manufacturing. 12. Data Analytics and Visualization in Smart Manufacturing Using AI-Based Digital Twins. 13. Business Analytics, Business Intelligence, and Paradigm Shift in Organizational Structure. 14. Applications of Human Computer Interaction, Explainable Artificial Intelligence and Conversational Artificial Intelligence in Real-Life Sectors. 15. AI for Industry 4.0 with Real-World Problems. 16. Industry 4.0 in Manufacturing, Communication, Transportation, Healthcare. 17. Advancing IoT Anomaly Detection through Dynamic Learning.

Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so thl“Î