Improving the capability of detecting joints and fractures in rock mass from roof bolt drilling data by using wavelet analysis

作     者：Liu, Wenpeng Saab, Samer S., Jr. Rostami, Jamal Ray, Asok 

作者机构：Colorado Sch Mines Earth Mech Inst Dept Min Engn Golden CO 80401 USA Penn State Univ Dept Elect Engn State Coll PA 16802 USA Penn State Univ Dept Mech & Nucl Engn State Coll PA 16802 USA 

出 版 物：《INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY》 (国际石油、天然气与煤炭技术杂志)

年 卷 期：2019年第20卷第1期

页      面：97-112页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0817[工学-化学工程与技术] 08[工学] 

主　　题：wavelet analysis cumulative sum algorithm CUSUM algorithm roof bolter drilling parameters joint detection ground support optimisation 

摘      要：To optimise ground supporting and mitigate ground instability, a proper understanding of the ground conditions is critical. The concept of monitoring drilling parameters of a bolter for ground characterisation, which refers to identifying geological features included locations of joints and strengths of rock layers, has been studied in the past few decades. Several intelligent drilling units have been developed for joint detection but have limited capabilities. For instance, the existing systems fail to discriminate joints with the aperture of less than 3.175 mm and tend to generate false alarms. The objective of this research was to develop more efficient and sensitive detection programs for joint detection. To achieve this objective, a series of full-scale drilling tests with various simulated joint conditions have been conducted, and new detection programs have been proposed based on pattern recognition algorithms. Moreover, wavelet analysis has been applied to pre-process data to further promote detection programs.