Research on precursory signals of microseism of rock burst based on wavelet analysis
-
摘要: 采集某煤矿1300工作面冲击地压发生前后的微震信号，进行时序特征分析，并采用db5作为小波基函数对微震信号进行5层分解，得到各层子频带的频谱特征和能量百分比。分析结果表明：冲击地压发生前，微震次数和能量呈现先增加后减少再增加的趋势；冲击地压发生前1 h出现了前兆信号，能量主要分布在62.5~250 Hz的中高频段，能量百分比达到55%；冲击地压发生时，波形起伏明显，振幅明显增大，低频信号占主要成分，能量主要集中在0~62.5 Hz的低频段，且占总能量的70%左右。得出冲击地压前兆：振幅增加，微震主频明显降低，频带由高频向低频发展，且前震发生的时间越靠近主震，低频信号越多，低频信号所占的能量百分比也越大。因此，可将微震主频急剧降低、振幅明显升高、低频信号能量百分比增加作为冲击地压前兆的主要特征，结合每日微震次数和能量变化趋势进行冲击地压预测。Abstract: The microseism signals before and after rock burst on 1300 working face of a coal mine were collected, and sequential characteristics were analyzed. The db5 is used as wavelet basis function to decompose microseism signals into five layers, and the spectral characteristics and energy percentage of each sub-frequency band are obtained. The analysis results show that before rock burst, the number and energy of microseism increase first and then decrease and then increase; precursor signal appeared one hour before rock burst occurred, the energy is mainly distributed in the middle and high frequency region of 62.5-250 Hz, and the energy percentage reaches 55%; when the rock burst occurs, the amplitude increases significantly, with obvious vibration fluctuations, low frequency signals are the main component, and the energy is mainly concentrated in the low frequency range of 0-62.5 Hz, and accounts for about 70% of the total energy. Precursory of rock burst is obtained: the amplitude increases, the frequency of the microseism is significantly reduced, the frequency band develops from high frequency to low frequency, and low frequency signal increases as the time of foreshock occurs closer to the main shock, the percentage of energy occupied by the low frequency signal also increases. Therefore, sharp reduction of main frequency of the microseismic, obvious increase of amplitude and increase of energy percentage of low-frequency signals can be used as the main feature of precursory of rock burst, combined with daily microseismic times and energy trends, rock burst can be predicted.
-
Keywords:
- rock burst /
- microseism /
- precursory signal /
- wavelet analysis /
- spectral characteristic /
- energy percentage
-
-
期刊类型引用(14)
1. 谭超，闵薪宇，辛亮，孙其浩，谭继伟，欧星作. 一种基于单轴向充磁永磁环励磁的钢丝绳无损检测方法. 传感技术学报. 2024(04): 731-736 . 
百度学术
2. 赵陆. 电梯钢丝绳损伤检测装置设计. 机械管理开发. 2024(12): 105-106+109 . 百度学术
3. 曹义威，张士超，陈小伟，徐光鹏，何宝林. 海洋石油钻修井钢丝绳在线监测技术研究与应用. 无损探伤. 2023(04): 30-33 . 百度学术
4. 王文庆，刘文辉，李生辉，徐午言. 基于永磁环励磁结构的钢丝绳无损检测设计. 西安邮电大学学报. 2023(05): 92-101 . 百度学术
5. 田劼，孙钢钢，李睿峰，王伟. 基于正交试验的钢丝绳探伤仪结构参数优化. 工矿自动化. 2022(09): 100-108 . 本站查看
6. 王红尧，吴佳奇，李长恒，唐文锦，张艳林. 矿用钢丝绳损伤检测信号处理方法研究. 工矿自动化. 2021(02): 58-62 . 本站查看
7. 窦连城，战卫侠，白晓瑞. 钢丝绳内外部断丝损伤识别. 工矿自动化. 2021(03): 83-88 . 本站查看
8. 王红尧，田劼，张艳林，刘志宏，陈艺童. 矿用钢丝绳在线监测教学实验装置关键技术. 煤矿安全. 2021(06): 177-182 . 百度学术
9. 王锐. 参加者较少的钢丝拉伸能力验证评价方法应用. 机械研究与应用. 2021(03): 208-211 . 百度学术
10. 靳志强. 矿用提升机钢丝绳损伤检测装置的设计. 机械管理开发. 2021(08): 253-255 . 百度学术
11. 田劼，王洋洋，郭红飞，赵彩跃. 基于漏磁检测的钢丝绳探伤原理与方法研究. 煤炭工程. 2021(09): 95-100 . 百度学术
12. 王红尧，李小伟，韩亦淼，吕昕. 矿用钢丝绳损伤检测系统设计. 工矿自动化. 2020(06): 92-97 . 本站查看
13. 张方泽. 矿用提升机制动过程与制动效果分析. 低碳世界. 2020(08): 166-167 . 百度学术
14. 窦连城，战卫侠. 钢丝绳断丝损伤漏磁场计算与仿真研究. 工矿自动化. 2020(10): 87-91 . 本站查看
其他类型引用(12)
计量
- 文章访问数: 100
- HTML全文浏览量: 14
- PDF下载量: 15
- 被引次数: 26
下载:
