AE Sound Source Localization Using Nearfield MUSIC Algorithm Based on Fourth-Order Cumulants

다국어 초록 (Multilingual Abstract)

Acoustic Emission (AE) source localization is a useful implement to diagnose the incipient faults in rotating machine. This paper proposes an improved Near-field Multiple Signal Classification method using four-order cumulants (NFC-MUSIC) to accurately locate the faults position. In order to overcome dispersion effect and revised velocity, the feature sub narrow band is extracted by Wavelet Packet reconstitution (WPR) and Modal Plate Wave Theory (MPWT). For multi-source decorrelation and increasing localized resolution, the four-order cumulants of observed signal can be selected for localization. The experiment results indicate that the improved method can accurately locate multi-rubbing faults. It is an efficient way to assist incipient rubbing faults diagnosis.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. The Pre-Processing of AE Signals
• 3. The Proposed AE Source Localization Algorithm
• 3. Experiments
• 4. Simulations and Evaluations
• 4.1. WPT for Zero-Order Modal Extraction
• 4.2. NFC-MUSIC Algorithm Localization Results
• 5. Conclusions
• References