基于维纳过程截齿磨损退化预测研究

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Abstract In order to solve the problem of picking gear wear state of road header, the wear state prediction model based on Grey-Markov chain model, Gamma process prediction model and Wiener process prediction model were constructed.The vibration and acoustic emission data samples were extracted by building a test bench. Considering the influence of experimental environment on the extraction of experimental data, the wavelet packet decomposition method was used to de-noise the data.Define 6 kinds of cutter tooth wear state, each state take 50 groups of data samples, verifies the accuracy of model, all conform to the requirements of the precision, data prediction research and application model, contrast is the experimental data, the results show that the vibration acceleration signal energy and the Grey-Markov model relative error is 0.89%, Gamma model relative error is 0.47%, wiener process relative error is 0.39%;The relative error of AE signal acceleration energy and lower Grey-Markov model is 1.02%, the relative error of Gamma model is 0.84%, and the relative error of Wiener process is 0.47%.The prediction accuracy of the three models are all good, and the prediction error of Wiener process is the least, which provides a new method for the prediction of the degradation state of road header pick wear.

Key words： Pick wear Grey-Markov chain Gamma process Wiener process Prediction accuracy

Received: 06 September 2021 Published: 15 January 2023

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	Articles by authors
	ZHANG Qiang1
	2
	ZHANG Jiayao1
	L Fuyan2

Cite this article:

ZHANG Qiang1,2,ZHANG Jiayao1, et al. Prediction of pick wear degradation states of road header based on Wiener process[J]. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(1): 207-214.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2023/V42/I1/207

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