1. Introduction 1.1 Definition and Scope 1.2 Importance of Predictive Maintenance 1.3 Objective of the Study 1.4 Research Methodology 2. Fundamentals of Mechatronic Systems 2.1 Components and Architecture 2.2 Role of Sensors 2.3 Challenges in Maintenance 3. Smart Sensor Technologies 3.1 Overview of Smart Sensors 3.2 Types of Smart Sensors 3.3 Applications in Industry 4. Integration Strategies 4.1 System Architecture Integration 4.2 Communication Protocols 4.3 Data Fusion Techniques 5. Predictive Maintenance Algorithms 5.1 Machine Learning Approaches 5.2 Advanced Analytics Techniques 5.3 Reliability and Accuracy 6. Case Studies 6.1 Automotive Industry Applications 6.2 Aerospace Sector Examples 6.3 Manufacturing Use Cases 7. Advantages and Limitations 7.1 Benefits of Integration 7.2 Potential Limitations 7.3 Overcoming Barriers 8. Future Directions 8.1 Emerging Technologies 8.2 Research Opportunities 8.3 Long-term Prospects
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