232 / 2025-06-15 10:26:11
Vibration Sensor Placement Optimization in Electrical Transmission for Prognostics and Health Management System
Electrical Transmission,Prognostics and Health Management,Particle Swarm Optimization,Modal Assurance Criterion
Final Paper
SHUFENG LIN / BEIJING INSTITUTE OF TECHNOLOGY
Changsong Zheng / Beijing Institute of Technology
Cenbo Xiong / Beijing Institute of Technology
Liang Yu / Beijing Institute of Technology
Qizhi Xu / Beijing Institute of Technology
This study optimizes accelerometer placement for vibration signal acquisition in Electro Transmission (ET) units to support Prognostics and Health Management (PHM) dataset construction. HyperMesh finite element models of ET housing sub-components are developed and validated through impact hammer modal testing, correcting material properties and boundary conditions. These validated sub-models are assembled into an integrated ET model. Romax multi-body dynamics simulations provide bearing support reaction forces from the internal planetary gear system; these forces are converted into the frequency domain and applied as excitation inputs. Vibration response under typical operating conditions is analyzed using the modal superposition method. The Modal Assurance Criterion (MAC) calculates characteristic vibration modes, forming an objective function for Particle Swarm Optimization (PSO) to determine optimal accelerometer locations. Hardware-in-the-loop (HIL) testing validates the optimized layout, with acquired signals demonstrating strong auto-correlation and cross-correlation, confirming the method's effectiveness. This work provides a theoretical basis for ET vibration monitoring and PHM dataset development.
Important Date
  • Conference Date

    Aug 01

    2025

    to

    Aug 04

    2025

  • Aug 20 2025

    Draft paper submission deadline

Sponsored By
中国机械工程学会设备智能运维分会
Organized By
新疆大学