Near field placement of error sensors in an active noise control application of axial cooling fans using flow visualization techniques

2007 ◽  
Vol 121 (5) ◽  
pp. 3180-3180
Author(s):  
Connor R. Duke ◽  
Scott L. Thomson ◽  
Scott D. Sommerfeldt ◽  
Kent L. Gee ◽  
Cole L. Duke ◽  
...  
Keyword(s):  
Flow Visualization ◽  
Noise Control ◽  
Near Field ◽  
Active Noise Control ◽  
Field Placement ◽  
Active Noise ◽  
Cooling Fans ◽  
Visualization Techniques ◽  
Control Application

Near‐field mapping of pressure fields during active noise control of small axial cooling fans

2006 ◽  
Vol 120 (5) ◽  
pp. 3198-3198
Author(s):  
Benjamin M. Shafer ◽  
Kent L. Gee ◽  
Scott D. Sommerfeldt ◽  
Cole V. Duke
Keyword(s):  
Noise Control ◽  
Near Field ◽  
Active Noise Control ◽  
Field Mapping ◽  
Pressure Fields ◽  
Active Noise ◽  
Cooling Fans

scholarly journals Multiple Iteration of Weight Updates for Least Mean Square Adaptive Filter in Active Noise Control Application

2017 ◽  
Vol 95 ◽  
pp. 14006
Author(s):  
Rahimie Mustafa ◽  
Anuar Mikdad Muad ◽  
Shahrizal Jelani ◽  
Ahmad Nur Alifa Abdul Razap
Keyword(s):  
Adaptive Filter ◽  
Noise Control ◽  
Active Noise Control ◽  
Mean Square ◽  
Least Mean Square ◽  
Active Noise ◽  
Control Application

Active noise control of multiple cooling fans.

2010 ◽  
Vol 127 (3) ◽  
pp. 1737-1737
Author(s):  
Ryan Rust ◽  
Jonathan Blotter ◽  
Scott Sommerfeldt ◽  
Kent Gee
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Active Noise ◽  
Cooling Fans

Implementation of Single and Multiple Adaptive Step Size Algorithm to ANC

2004 ◽  
Author(s):  
Yesim Sabah ◽  
Masaaki Okuma ◽  
Minoru Okubo
Keyword(s):  
Steady State ◽  
Noise Control ◽  
Active Noise Control ◽  
Lms Algorithm ◽  
Step Size ◽  
Adaptive Step Size ◽  
Active Noise ◽  
Control Application ◽  
Adaptive Step ◽  
State Error

The purpose of this paper is to investigate a modified adaptive step size algorithm and implement to active noise control (ANC) system. It is well-known that there is a trade-off between steady state error and convergence rate depending on the step size. This study shows that the new algorithm can track changes in dynamic characteristics of ANC system as well as produce a low steady state error. Simulation results are presented to compare the performance of the new algorithm to basic LMS algorithm. Although there have been several studies for adaptive step size algorithm, no quantitative analysis has yet been reported for real time active noise control application as far as the authors know. Experimental results are presented for a duct system. The results indicate that the new algorithm provides better performance than the fixed step size FXLMS algorithm.

Active noise control of small axial cooling fans

2004 ◽  
Vol 115 (5) ◽  
pp. 2498-2498
Author(s):  
Brian B. Monson ◽  
Scott D. Sommerfeldt ◽  
Connor Duke
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Active Noise ◽  
Cooling Fans
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