Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2025)
Volume 1
Series: Mechanisms and Machine Science; 188;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 15 January 2026
- Number of Volumes 1 pieces, Book
- ISBN 9783032009678
- Binding Hardback
- No. of pages1119 pages
- Size 235x155 mm
- Language English
- Illustrations V, 1119 p. 587 illus., 474 illus. in color. 700
Categories
Long description:
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 16–19, 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.
MoreTable of Contents:
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.
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