Vibration events in underground heading face and useful index for rock burst monitoring

Zhang, Wenlong; Li, Chen; Huo, Tianhong; Qu, Xiaohui; Xin, Chongwei

doi:10.1016/j.measurement.2021.109501

Cited by 13 publications

(4 citation statements)

References 31 publications

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“…In the traditional vibration data analysis, some sensitive characteristic signals are extracted from the vibration signals based on some data processing methods and statistical methods for comparison and experience summary. In this paper, the features extracted by traditional analysis (kurtosis, wavelet entropy, band energy, and time-frequency features) are used as the original features for reference manifold spatial clustering analysis [18][19][20][21]. Te roadheader health signal and fault signal are efectively separated to achieve the purpose of fault diagnosis.…”

Section: Construction Of Feature Parameter Comparison Sample Setmentioning

confidence: 99%

Vibration Signal Analysis of Roadheader Based on Referential Manifold Learning

Jiang,

Ji,

Yang

et al. 2023

Shock and Vibration

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Roadheader is important large equipment in coal mining. The roadheader has a higher failure rate due to its harsh working environment and high working intensity. In this paper, we proposed a fault diagnosis method based on reference manifold (RM) learning by using the vibration signals of roadheader in the actual production process. First, health and fault vibration signals were extracted from a large number of field data. The abovementioned signals were analyzed by time domain and wavelet packet energy analysis and got the characteristic parameters of the signal which can form the characteristic parameter sets. RM method can reduce the dimension of the characteristic parameters, and the projection of different characteristic parameters was obtained. Finally, the health parameters and fault parameters of different characteristic parameters were segmented by linear discriminant analysis (LDA). It could get the different segment area range of characteristic parameters for health signals and fault signals. This method provides a set of fault analysis ideas and methods for equipment working under complex working conditions and improves the theoretical basis for fault type analysis.

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Section: Construction Of Feature Parameter Comparison Sample Setmentioning

confidence: 99%

Vibration Signal Analysis of Roadheader Based on Referential Manifold Learning

Jiang,

Ji,

Yang

et al. 2023

Shock and Vibration

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“…Among this information, capturing AE signals to reflect the location of rock fracture is the most commonly used method in laboratory tests [39]. The indicators used to characterize AE events usually include amplitude (voltage value) [40], particle velocity [41], event duration [42], dominant frequency [43], occurrence location [44], fractal dimension [45], etc., and these indicators have been confirmed to be effective for rock failure monitoring. The location of AE events can better reflect the central occurrence position of the fracture [46], but the accuracy of positioning is usually very dependent on algorithms [47].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Butterfly Shape of the Plastic Zone around a Hole near Rock Failure

Zhang,

Yu,

Ren

et al. 2024

Fractal Fract

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The precursor of rock failure around a hole has always been one of the research hotspots in the field of rock mechanics, and the distribution of the plastic zone is often adopted to reflect the location and form of rock failure. The shape of the plastic zone around a hole before rock failure can guide the mechanism of and early warning methods for geotechnical engineering disasters, while previous theoretical research and numerical simulation results show that the shape of the plastic zone around the hole is butterfly shaped under specific stress, which is referred to as butterfly failure theory. Studies also indicate that the butterfly shape of the plastic zone around a hole is considered to be the main cause of many disasters, which signifies the importance of studying the morphology of the plastic zone near rock failure. Therefore, this study is committed to finding the specific shape of the plastic zone near rock failure through relatively accurate and a high number of AE event location results, and the final experimental results show that the plastic zone around the hole is basically a butterfly shape near rock failure. This study verifies the correctness of the butterfly failure theory and provides an important reference for the study of geotechnical engineering disaster mechanisms and monitoring methods. The fact that the plastic zone in the early stage of rock failure in this study tends to be butterfly shaped preliminarily indicates the fractal law of rock failure. In the moment before rock failure, the distribution of AE events is more regular, which leads to large-scale collapse type failure.

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“…Guo et al 23 analyzed the failure mechanics and energy characteristics of coal mass on the basis of confining pressure unloading and axial pressure loading experiments, and showed that rapid unloading was the key factor leading to lateral deformation and expansion failure of coal mass. Zhang et al [24][25][26] based on the operating vibration signal acquisition system, studied the basic characteristics of microseismic events in the heading face, including the occurrence location, main frequency range, maximum amplitude range, event duration, and the relationship between stress and deformation in the heading face. Zhou et al 27,28 studied the disturbance effects of deep well excavation through field measurements and numerical simulations.…”

Section: Introductionmentioning

confidence: 99%

Multifactor analysis of roof deformation and reasonable determination of the unsupported distance of a coal roadway heading face based on response surface method

Gong

Liu

2023

Energy Science & Engineering

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This paper is aimed at the problems of multiple factors influencing the roof stability near a heading face and unreasonable values of the unsupported distance leading to a slow excavation speed. The behavior of the direct roof subsidence in the unsupported area is analyzed, and numerical simulation and the response surface method are used to study the key factors affecting the roof deformation and their interaction relations. The results indicate that roof strength is the most critical factor affecting deformation and failure, followed by soft rock thickness, unsupported distance, and support strength. The interaction analysis in Zhaozhuang Coal Mine's 33082 lane shows that it is difficult to control the roof subsidence when the unsupported distance is more than 2 m and the soft rock thickness is more than 4 m. After the unsupported distance is set to about 2 m and the support strength is increased to 0.25 MPa, the excavation speed approximately doubles, and the overall roadway is stable and controllable. By implementing field applications, the rationality of the research approach was confirmed.

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Vibration events in underground heading face and useful index for rock burst monitoring

Cited by 13 publications

References 31 publications

Vibration Signal Analysis of Roadheader Based on Referential Manifold Learning

Vibration Signal Analysis of Roadheader Based on Referential Manifold Learning

Experimental Study on the Butterfly Shape of the Plastic Zone around a Hole near Rock Failure

Multifactor analysis of roof deformation and reasonable determination of the unsupported distance of a coal roadway heading face based on response surface method

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