Key research themes
1. How can total productive maintenance (TPM) and planning improve maintenance effectiveness and equipment uptime in industrial plants?
This theme explores the implementation of Total Productive Maintenance (TPM) and structured maintenance planning and scheduling to enhance equipment reliability, reduce breakdowns, and optimize maintenance resources in industrial settings such as boilers and manufacturing plants. It emphasizes methodologies for proactive maintenance practices that engage operators and maintenance personnel to sustain high equipment availability and reduce downtime.
2. What role does data-driven fault detection and condition-based maintenance (CBM) play in improving maintenance outcomes in utilities and district heating systems?
This research theme focuses on the use of real-time data collection, monitoring, and analytical techniques such as predictive maintenance and condition-based maintenance to detect, diagnose, and manage faults in utility infrastructures like district heating customer installations and electrical substations. By leveraging customer data, supervisory control systems, and fault prioritization algorithms, these studies show how utilities can reduce service interruptions and optimize maintenance interventions.
3. How can structured facility management and maintenance information systems enhance lifecycle maintenance and cost efficiency in complex buildings and healthcare facilities?
This theme addresses the application of facility management tools, centralized databases, and software systems to support maintenance operations, improve data consistency, and allow for integrated management of assets in buildings and healthcare settings. The research underscores the benefits of standardized data collection, easy access to maintenance records, and automation in reducing maintenance effort, saving time, and facilitating strategic planning across the facility lifecycle.