Extracting Fault Signals from Strong Disturbance Signals in Coal Mineral Well Based on the Least-Square Wavelet Transform

摘要

A novel wavelet transform — the least-square transform is proposed in the paper, which is used to extract weak fault signals from strong disturbance 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 disturbance 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 disturbance 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.