| Autor: |
Xiao Ju Wang, Qun Li Mei, Yang Xue, Li Min Sun, Sheng Chen Yu, Lian Jun Zhang, Hui Guo |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
Applied Mechanics and Materials. :3085-3088 |
| ISSN: |
1662-7482 |
| DOI: |
10.4028/www.scientific.net/amm.295-298.3085 |
| Popis: |
A novel wavelet transform — the least-square transform is proposed in the paper, which is used to extract weak fault signals from strong interference signals in coal mineral well. With the help of the least-square transform, a smooth fault signal curve can be got from the fault signal with high noise. Strong interference signals in the coal mineral well give a so serious problem on the work of general electric investigation that sometime process of observing useful fault signal cannot be finished. For extracting the weak effective fault signals from strong interferences signals in coal mineral well, original measured signals are decomposed by the least-square transform wavelet transform proposed in the paper, and the weak effective fault signals are extracted successfully. Experimental results show that the approach method is feasible and efficient. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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