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Enhanced approach to fusing automatic characteristic frequency extraction and adaptive array signals weighting for
1State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, People's Republic of China.
ISA Transactions
|December 5, 2023
Summary
This study introduces an enhanced sound localization method using characteristic frequencies and adaptive weighting. The approach improves accuracy and interference suppression for various acoustic applications.
Area of Science:
- Acoustics and Signal Processing
- Mechanical Engineering
Background:
- Accurate sound localization is crucial for diagnosing machinery faults.
- Existing methods struggle with frequency mismatch and interference.
Purpose of the Study:
- To develop an enhanced sound localization technique.
- To improve accuracy and interference suppression in acoustic analysis.
Main Methods:
- Fused automatic extraction of array signal characteristic frequencies and adaptive weighting.
- Refined autoregressive power spectral estimation and density-based spatial clustering.
- Introduced adaptive weighting to address frequency mismatch.
Main Results:
- The adaptive weighting vector significantly enhances localization accuracy.
- Demonstrated improved interference suppression capabilities.
- Validated effectiveness on transformer and pump test data.
Conclusions:
- The proposed method offers improved sound localization performance.
- It is applicable to diverse spatial spectrum estimation and deep learning techniques.
- Shows potential for broad industrial diagnostic applications.
