Improvement of drum shearer coal loading performance

2018 ◽  
pp. 22-25 ◽  
Author(s):  
Khac Linh Nguyen ◽  
◽  
V. V. Gabov ◽  
D. A. Zadkov ◽  
◽  
...  
Keyword(s):  
Drum Shearer

Analysis on vertical steering vibration of drum shearer cutting part

2018 ◽  
Vol 25 (11) ◽  
pp. 2722-2732 ◽  
Author(s):  
Dao-long Yang ◽  
Jian-ping Li ◽  
Yan-xiang Wang ◽  
Hong-xiang Jiang
Keyword(s):  
Drum Shearer

scholarly journals A Novel Approach for Acoustic Signal Processing of a Drum Shearer Based on Improved Variational Mode Decomposition and Cluster Analysis

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2949
Author(s):  
Changpeng Li ◽  
Tianhao Peng ◽  
Yanmin Zhu
Keyword(s):  
Signal Processing ◽  
Acoustic Signal ◽  
Clustering Algorithm ◽  
Pso Algorithm ◽  
Variational Mode Decomposition ◽  
Novel Approach ◽  
Mode Decomposition ◽  
Drum Shearer ◽  
Best Parameter ◽  
And Cluster Analysis

During operation, the acoustic signal of the drum shearer contains a wealth of information. The monitoring or diagnosis system based on acoustic signal has obvious advantages. However, the signal is challenging to extract and recognize. Therefore, this paper proposes an approach for acoustic signal processing of a shearer based on the parameter optimized variational mode decomposition (VMD) method and a clustering algorithm. First, the particle swarm optimization (PSO) algorithm searched for the best parameter combination of the VMD. According to the results, the approach determined the number of modes and penalty parameters for VMD. Then the improved VMD algorithm decomposed the acoustic signal. It selected the ideal component through the minimum envelope entropy. The PSO was designed to optimize the clustering analysis, and the minimum envelope entropy of the acoustic signal was regarded as the feature for classification. We then use a shearer simulation platform to collect the acoustic signal and use the approach proposed in this paper to process and classify the signal. The experimental results show that the approach proposed can effectively extract the features of the acoustic signal of the shearer. The recognition accuracy of the acoustic signal was high, which has practical application value.

Reliability analysis of the cable system of drum shearer using the power law process model

2012 ◽  
Vol 26 (4) ◽  
pp. 309-323 ◽  
Author(s):  
Seyed Hadi Hoseinie ◽  
Mohammad Ataei ◽  
Reza Khalokakaie ◽  
Behzad Ghodrati ◽  
Uday Kumar
Keyword(s):  
Reliability Analysis ◽  
Power Law ◽  
Process Model ◽  
Cable System ◽  
Power Law Process ◽  
Drum Shearer

Reliability modeling of hydraulic system of drum shearer machine

2011 ◽  
Vol 17 (4) ◽  
pp. 450-456 ◽  
Author(s):  
Hoseinie Seyed Hadi ◽  
Ataie Mohammad ◽  
Khalookakaei Reza ◽  
Kumar Uday
Keyword(s):  
Hydraulic System ◽  
Reliability Modeling ◽  
Drum Shearer

scholarly journals A DATA DRIVEN DECISION MAKING APPROACH FOR LONG-WALL MINING PRODUCTION ENHANCEMENT

Mining Scince ◽  
2019 ◽  
Vol 26 ◽  
Author(s):  
Amid Morshedlou ◽  
Hesam Dehghani ◽  
Hadi Hoseinie
Keyword(s):  
Preventive Maintenance ◽  
Conveyor Belt ◽  
Data Driven ◽  
Computational Results ◽  
Production Chain ◽  
Maintenance Schedule ◽  
Average Production ◽  
Drum Shearer ◽  
Critical Components ◽  
Production Losses

Machine failures have destructive effects on continuity of operation and lead to production losses in long-wall mines, making proper maintenance scheduling essential. This paper models the reliability of the whole production chain in an Iranian long-wall mine including the drum shearer, Armored Face Conveyor (AFC), hydraulic powered supports, Beam Stage Loader (BSL), and main conveyer belt. Analyzing the computational results and failure frequencies, we rank the critical components and develop a reliability-based preventive maintenance schedule for all equipment. In respect to the data classification, conveyor belt with failure abundance of 41.5 percent is the most critical, while powered supports with the failure abundance of 1.2 percent shows the best performance. Approximately, the reliability of the production process after four hours reaches nearly to zero. Implementing the schedule, computational results suggest an increase of approximately 67.7 percent in the average production per shift.

Based on the ANSYS Software to Research Lasers Coating Applied with the Ho-Type Cutting Pick

2011 ◽  
Vol 308-310 ◽  
pp. 2349-2352
Author(s):  
Nan Nan Xu ◽  
Ping Huai Mao ◽  
Bing Zhai
Keyword(s):  
Economic Potential ◽  
Ansys Software ◽  
Drum Shearer

Based on the ANSYS Software the Ho-type cutting pick of Spiral Drum Shearer applied lasers coating is feasible analysis. At first the paper describes the Spiral Drum Shearer’s overall body and elicit to its traditional materials. Then analysis the head of Cutting pick’s traditional materials in order to apply with lasers coating. Then simulate it and Fatigue calculation by ANSYS Software. By analysis of the coating pick is found that the Cutting pick’s life can develop well. So it has a nice economic Potential.

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