Topology Optimization Design Method for Acoustic Imaging Array of Power Equipment

Area of Science:

• Electrical Engineering
• Acoustics
• Signal Processing

Background:

• Acoustic imaging offers non-contact defect detection in power equipment.
• Current microphone array designs lack topology optimization for complex environments.
• Existing methods struggle with precise localization in the presence of multiple sound sources.

Purpose of the Study:

• To develop an optimized microphone array topology for acoustic imaging of power equipment.
• To enhance the accuracy and reliability of defect detection and localization.
• To address limitations in existing acoustic imaging array designs.

Main Methods:

• Analysis of acoustic frequency domain characteristics of power equipment.
• Determination of cut-off frequencies for full bandwidth testing.
• Development of a topology optimization design method for microphone arrays.
• Simulation and laboratory testing of the proposed array design.

Main Results:

• The circular array shape was identified as optimal through simulations.
• A novel topology optimization method yielded a global optimal solution for array design.
• The improved array demonstrated a 54% increase in low-frequency (LF) and 49% in high-frequency (HF) imaging performance.
• Accurate localization of single sound sources and identification of main sources amidst interference were verified.

Conclusions:

• The proposed topology optimization method effectively enhances acoustic imaging performance for power equipment.
• The improved array design enables precise defect localization and reliable sound source identification.
• This advancement is crucial for ensuring the safety and operational integrity of power systems.