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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tan, C.C. Okada, Y. |
| Copyright Year | 1997 |
| Description | Author affiliation: Queensland Univ. of Technol., Brisbane, Qld., Australia (Tan, C.C.) |
| Abstract | The detection of a defective bearing signal corrupted by background machine noise and strong shaft unbalance is illustrated by using adaptive noise cancellation technique. A trial and error method is adopted to determine the optimum convergency factor for the adaptation process. Successful detection of the desired bearing signal depends on the choice of convergency factor and the location of the reference sensor for the measurement of correlated noise. Although the results show a strong potential for its application in detecting spall type bearing signal, a more definitive approach needs to be developed for determining the convergency factor for the adaptation process. |
| Starting Page | 108 |
| Ending Page | 112 |
| File Size | 415143 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780336763 |
| DOI | 10.1109/ICICS.1997.647067 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-09-12 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive signal detection Frequency Noise cancellation Shafts Background noise Signal detection Adaptive filters Acoustic signal detection Signal processing Noise generators |
| Content Type | Text |
| Resource Type | Article |
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