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Algorithm Research & Explore
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720-723,741

Research on de-noising of AE signals of coal-gas outbursts by improved PF algorithm

Fu Hua
Qi Xiaojuan
Faculty of Electrical & Control Engineering, Liaoning Technical University, Huludao Liaoning 125105, China

Abstract

Coal-gas outbursts produce acoustic emission signals(AE). Giving the problem of extracting more pure and effective AE signals, this paper proposed an intelligent optimized particle filter(PF) of neighborhood dynamic adjustment(D) for fruit fly algorithm(FOA). It used each fruit fly individual characterizing signal particle of PF to optimize the resampling process of particle filtering, and adjusting the number of neighboring particles dynamically improved the optimization ability and convergence rate of fruit fly algorithm. Taking the root-mean-square error and signal-to-noise ratio as the evaluation index, from signal acquisition system, it respectively de-noised the AE signals of coal-gas outburst by standard particle filter, fruit fly optimized particle filter and improved particle filter. The experiment results show that the signal-to-noise ratio of the optimized particle filter algorithm is improved by about 15.3 dB, and the root-mean-square error is the lowest. Compared with other two methods, the improved particle filter has the best de-noising effect.

Foundation Support

国家自然科学基金资助项目(51274118,71371091)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0924
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 720-723,741
Serial Number: 1001-3695(2019)03-016-0720-04

Publish History

[2019-03-05] Printed Article

Cite This Article

付华, 齐晓娟. 改进PF算法在煤与瓦斯突出AE信号去噪中的研究 [J]. 计算机应用研究, 2019, 36 (3): 720-723,741. (Fu Hua, Qi Xiaojuan. Research on de-noising of AE signals of coal-gas outbursts by improved PF algorithm [J]. Application Research of Computers, 2019, 36 (3): 720-723,741. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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