One Dimension NLM Denoising Method Based on Hasudorff Distance and Its Application in OTLC

It is difficult to realize the effective separation of signal and noise in the vibration signals, owing to the traditional signal filtering method. This paper puts forward an algorithm which was based on Hasudorff distance and nonlocal means (Hasudorff-Non Local Means, HDNLM). This algorithm makes use of Hasudorff distance more efficient than Euclidean distance distance in preserving signal details. It is aim to improve the weight model of traditional NLM of Euclidean Distance. Experimental and simulation show that: The improved NLM is superior than the simple morphology, traditional NLM, and db8 wave transform in the noise denoising of vibration signal aspect. The newly method is combined with the power spectral density, and it is well applied in the fault feature extraction of on-load tap changers.