Preliminary assesment of ADIS16470AMLZ sensor for monitoring of seismic activity in mining area

Q3 Engineering

Diagnostyka Pub Date : 2022-11-24 DOI:10.29354/diag/152952

M. Śmieja, Jakub Banach, Tomasz Majkusiak, J. Rapiński

引用次数: 0

Abstract

Seismic activity monitoring in the mining exploitation area is an important factor, that has an effect on safety and infrastructure management. The introduction sections presents the outline of mining interference into rock mass structure and selected parameters and methods of observation related to its effects. Further in the article an alternative to currently seismic measurement devices was proposed, and an preliminary research of its metrological quality was carried out based on experimental data. Assessment was based on short time Fourier transform (STFT) and Pearson cross-correlation coefficient.

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ADIS16470AMLZ传感器监测矿区地震活动的初步评价

地震活动监测是矿山开采区内地震活动监测的重要内容，对矿山安全和基础设施管理具有重要影响。引言部分概述了采矿对岩体结构的干扰，以及与其影响有关的选定参数和观测方法。本文进一步提出了一种替代现有地震测量装置的方法，并根据实验数据对其计量质量进行了初步研究。评估基于短时傅里叶变换(STFT)和皮尔逊互相关系数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Diagnostyka Engineering-Mechanical Engineering

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.