This book 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), held in Zhangjiajie, China, on May 1619, 2025. 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 optimization, 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.

Presents recent trends in maintenance engineering, condition monitoring, and reliability Offers essential insights into a wide range of topics Written by leading experts in the field

Inhalt

Short-term Wind Power Prediction Based on SNAO-BITCN-BIGRU-A.- Research on Independent Pitch Control of Wind Turbine Based on Whale Optimization Algorithm.- Research on parameter-based adaptive FMD in fault diagnosis.- A Non-Intrusive Load Event Detection Method Based on the Isolation Forest Algorithm and a Two-Layer Filtering Mechanism.- Research on the Impact of Inter-Pole Magnetic Fields in Multi-Pole Series DC Circuit Breakers on Arc Movement Characteristics.- Short-term Wind Power Prediction Based on PKZOA-CNN-BiLSTM Model.- A Lithium Battery SOC Estimation Method Based on a Fractional-Order Model and the SRCKF Algorithm.- Remaining Useful Life Prediction for Bearings Enabled by Automated Feature Selection and Dual-Channel Transformer.- Fault Feature Extraction Of Motor Bearing Based On EBSLO-VMD.- Genetic Algorithm Optimized Variational Time-domain Decomposition: A Multi-source Impact Extraction Method for Reciprocating Machinery.- Intelligent Fault Diagnosis Of Motor Vibration Signals Based On A Hybrid SDP-CNN-BiLSTM Approach.