Condition monitoring in smart manufacturing represents a pivotal component in the landscape of modern industrial processes. By leveraging advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), smart manufacturing offers unparalleled opportunities for improving efficiency, reducing downtime, optimizing resource allocation, quality control and preventing injuries. This special issue focuses on the latest advancements and research in condition monitoring within the realm of smart manufacturing. It aims to showcase innovative methodologies, technological developments, and practical applications that highlight how condition monitoring is revolutionizing modern manufacturing processes.

Key Themes and Topics

• Integration of IoT and AI in Manufacturing: Articles exploring how Internet of Things (IoT) and Artificial Intelligence (AI) are being integrated into manufacturing systems for real-time monitoring and decision-making

• Predictive Maintenance Techniques: Papers discussing advanced predictive maintenance strategies enabled by condition monitoring, emphasizing their impact on reducing downtime and maintenance cost

• Data Analytics and Machine Learning Applications: Research on the use of big data analytics and machine learning algorithms to interpret the vast amounts of data generated by sensors for early fault detection and process optimization.

• Case Studies on Smart Factory Implementations: Real-world case studies that provide insights into how various industries are implementing smart factory concepts and the role of condition monitoring in these transformations.

• Challenges and Solutions in Smart Manufacturing: Discussions on the challenges faced during the implementation of condition monitoring systems, such as integration with legacy equipment, data privacy, and cybersecurity concerns, and the proposed solutions.

• Future Trends in Smart Manufacturing: Forward-looking articles that speculate on future developments in the field, including the potential impact of emerging technologies such as 5G, augmented reality (AR), and virtual reality (VR).

Contribution and Audience:

• Industry Insights: Practical insights from industry experts demonstrating the application of condition monitoring in various manufacturing scenarios.

• Interdisciplinary Approaches: Contributions that blend engineering, data science, and management perspectives.

• Academic Research: Cutting-edge research from academia offering theoretical advancements and experimental validations.

This special issue is aimed at academics, industry professionals, and researchers who are keen on understanding the evolving landscape of smart manufacturing, with a particular focus on how condition monitoring is pivotal to this evolution. It serves as a platform for sharing knowledge, discussing challenges and opportunities, and networking with peers in the field.