Bearing fault detection and oil debris monitoring by adaptive noise cancellation

Raymond Yi-Wen Wang
Bearing fault detection is critical in preventing machine failure and ensuring machine is operating in optimal condition. However, the monitored bearing vibration signal is often corrupted by interference signals from other sources in the machine. Adaptive noise canceller can be used to extract the bearing signal from the corrupting interference signals, thus enable bearing fault detection. Adaptive noise canceller utilizing least mean square algorithm is also suitable for on-line monitoring because of its computational efficiency....
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