Vibrations are a primary factor for wear and tear of a lot of machines, machine parts, structures, vehicles, motors, etc. A small but consistent amount of vibration can also cause major disturbance and damage. It has a long list of causes as well. But human involvement and environmental involvement are the two most major factors that cannot be decremented or controlled. Hence, it is of utmost necessity that these rogue vibrations are suppressed or better yet, controlled. There are various techniques in recent times that have been developed to combat this problem. One of the most effective methods are adaptive filtering algorithms. We will be taking a close look at these algorithms in this paper. Among these adaptive filtering algorithms, the highest convergence rate is possessed by the Least Mean Square Algorithms. These algorithms play a vital role in detecting, analyzing, understanding and controlling of Vibrations. After successful control and suppression of these vibrations, the quality of a particular adaptive filter can be determined using the Mean Square Error of the resultant signals.
|Number of pages||7|
|Journal||International Journal of Control Theory and Applications|
|Publication status||Published - 2015|
All Science Journal Classification (ASJC) codes
- Computer Science(all)