Proceedings of the Unified Conference of Damas, Income and Tepen Conferences Unified 2023

This volume gathers the latest advances, innovations and applications in the field of condition monitoring, damage assessment and maintenance engineering, as presented by leading international researchers and engineers at the UNIfied Conference of DAMAS (International Conference on Damage Assessment of Structures), IncoME  (International Conference on Maintenance Engineering) and TEPEN (The Efficiency and Performance Engineering) Conferences, held in Huddersfield, UK on August 29 – September 1, 2023. Topics include machinery dynamics, sensors and measurement systems, signal processing, structural damage identification and machine fault diagnosis, plant maintenance and reliability, machine health monitoring, asset management, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous internationalpeer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.

This volume gathers the latest advances, innovations and applications in the field of condition monitoring, damage assessment and maintenance engineering, as presented by leading international researchers and engineers at the UNIfied Conference of DAMAS (International Conference on Damage Assessment of Structures), IncoME  (International Conference on Maintenance Engineering) and TEPEN (The Efficiency and Performance Engineering) Conferences, held in Huddersfield, UK on August 29 – September 1, 2023. Topics include machinery dynamics, sensors and measurement systems, signal processing, structural damage identification and machine fault diagnosis, plant maintenance and reliability, machine health monitoring, asset management, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.