1. Angang Group Mining Co., Ltd., Anshan, Liaoning 114001, China
2. School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou,Jiangsu 221116, China
3. Angang Group Anqian Mining Co., Ltd., Anshan, Liaoning 114043, China
Abstract：The effects of three different attenuation functions, namely, hyperbolic function, exponential function and linear function, on the noise reduction effect of wire rope magnetic flux leakage signal are discussed.Adaptive shift average denoising is applied to noisy signals with damage, and the denoising effect is compared and analyzed using signal-to-noise ratio and correlation number.The results show that for the two types of magnetic leakage signals used, the maximum SNR of the denoising signal using hyperbolic functions can reach 14.1041dB and 10.8349dB, which is greater than the corresponding SNR obtained from exponential and linear functions.The output curve obtained is smooth and has better denoising effect.Meanwhile, as the noise increases, the correlation number of denoised signals using hyperbolic functions approaches 1 faster, exhibiting better dynamic characteristics.
DAI J W. Discussion on damage detection of hoisting steel wire rope ［J］. China Standardization, 2017 (20): 255-256.
LIANG H, HONG R Y, YANG G H. Research on wire rope nondestructive testing technology based on the magnetic flux leakage signals ［J］. Piezoelectrics and Acoustooptics, 2008 ( 4): 508-510.
ZHOU H Y, SUN J, XU H W,et al. Ultrasonic defect echoes identification based on EEMD and low-rank sparse decomposition ［J］. Acta Metrologica Sinica,2022, 43(1): 77-84.
ZHAO J, HUA G, YU B. De-noising method of mine wire rope damage signal based on lmproved wavelet threshold algorithm ［J］. Coal Mine Machinery, 2013, 34(1): 284-286.
ZHANG S X, LI S J, ZHANG Y. Research on acquiring method of characteristics of steel wire rope damage detection signal ［J］. Coal Technology, 2015, 34(3): 271-273.
DOU L C, ZHAN W X, BAI X R. Damage identification of broken wires inside and outside the wire rope ［J］. Journal of Mine Automation, 2021, 47(3): 83-88.
［11］
Hung N H, Yang Z J, Profitability of applying simple moving average trading rules for the Vietnamese stock market, Journal of Business Management, 2013, 2(3): 22-31.
WU D, ZHANG B J, LIU W X, et al. Noise reduction method for wire rope damage signal under strong noise background ［J］. Journal of Mine Automation, 2022, 48(1): 58-63.
WANG L, PAN C Z, WANG Y, et al. Denoising and waveform feature extraction of magnetic leakage signal due to fault of wire rope ［J］. Mining Machinery, 2014, 42(2): 49-53.
HU Y, KANG Y H, LU W X, et al. Some algorithms for nondestructive testing of wire ropes—signal pre-processing and character extraction ［J］. Nondestructive Testing, 2000 (11): 483-488.
LI Y J. Equipment technology and prospects of mine hoisting system ［J］. Coal Engineering, 2014, 46(10): 61-64.
ZHANG N. Study on Broken Wire Quantitative Detection Technology of Steel Rope Base on Wavelet Transform ［J］. Coal Engineering, 2013 (2): 129-131.
CHEN J, LIU Y Y, HUANG K X, et al. Rolling bearing fault diagnosis method based on singular value decomposition and independent component analysis ［J］. Acta Metrologica Sinica, 2022, 43(6): 777-785.
WANG H Y, WU J Q, LI C H, et al. Research on signal processing method of mine wire rope damage detection ［J］. Journal of Mine Automation, 2021, 47(2): 58-62.
［15］
SHAN Z, YANG J H, SANJN M A F, et al. A novel adaptive moving average method for signal denoising in strong noise background ［J］. The European Physical Journal Plus, 2022, 137(1): 50.
2024, Vol. 45 
