Three-Level NPC Inverter Fault Diagnosis using Wavelet Packet Transform and Statistical Analysis of the Emitted Near-Field

2021 ◽  
Author(s):  
Ibtissem Abari ◽  
Mahmoud Hamouda ◽  
Jaleleddine Ben Hadj Slama
Keyword(s):  
Statistical Analysis ◽  
Fault Diagnosis ◽  
Wavelet Packet ◽  
Near Field ◽  
Wavelet Packet Transform

Fan Fault Feature Extraction Based on Wavelet Packet Transform

2014 ◽  
Vol 668-669 ◽  
pp. 999-1002
Author(s):  
Xin Li ◽  
Pan Feng Guo
Keyword(s):  
Feature Extraction ◽  
Fault Diagnosis ◽  
Wavelet Packet ◽  
Vibration Signal ◽  
Wavelet Packet Transform ◽  
Research Topic ◽  
Signal Characteristic ◽  
Manufacturing Enterprises ◽  
Important Position ◽  
Fault Feature Extraction

Fan occupies the important position in many industry, it give rise to that fault diagnosis become the new hot research topic, also is the urgent demand of many manufacturing enterprises. This paper based on the theory of wavelet packet transform, selecting wavelet packet transform and energy spectrum to wavelet de-noising and fault feature extraction the fan vibration signal. And use the MATLAB get the fan vibration signal characteristic vector, lay the foundation for the fan fault diagnosis.

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