scholarly journals Coal Mining Machinery Development As An Ecological Factor Of Progressive Technologies Implementation

2017 ◽  
Vol 50 ◽  
pp. 012009 ◽  
Author(s):  
A B Efremenkov ◽  
A A Khoreshok ◽  
S A Zhironkin ◽  
A V Myaskov
Keyword(s):  
Coal Mining ◽  
Ecological Factor ◽  
Mining Machinery

scholarly journals Fault Diagnosis of Coal Mining Machinery Based on State Parameters

2020 ◽  
Author(s):  
Dong Song
Keyword(s):  
Fault Diagnosis ◽  
Coal Mining ◽  
Fault Type ◽  
Fault Parameters ◽  
Underground Coal Mines ◽  
Mining Machinery ◽  
The Status ◽  
New Perspective ◽  
Judgment Condition ◽  
Cutting Unit

The reliable operation of coal mining machinery acts as an important guarantee for safe productions in underground coal mines. The status monitoring and fault diagnosis of traditional coal mining machinery mainly rely on threshold judgments. However, a single judgment condition and a long fault propagation chain can be found in the method of threshold judgments, which make it difficult to accurately seek the fault type. By using the data analysis of state parameters for coal mining machinery, fault parameters and propagation paths can be analyzed effectively. This paper takes the cutting unit of a certain type of bolter miners as an example, a static and dynamic numerical analysis method of the cutting unit of bolter miners are established by virtue of FTA-Petri net models and BP-Firefly neural networks, which can provide a new perspective for fault diagnosis of coal mining machinery.

The Current Situation and Future Prospect of Advanced Human-Machine Engineering’s Application in Coalmine

2012 ◽  
Vol 220-223 ◽  
pp. 639-643
Author(s):  
Yi Fei Weng
Keyword(s):  
Coal Mining ◽  
Future Prospect ◽  
Current Situation ◽  
Virtual Human ◽  
Future Trends ◽  
Productive Activity ◽  
Human Engineering ◽  
Noise Environment ◽  
Mining Machinery ◽  
Digital Human

Coalmines’ productive activity demands safety, comfortability, efficiency and economy, which are just the features of advanced human-machine engineering. Then current situation of advanced human-machine engineering’s application in coalmine is summarized, including: operating devices of coalmine machinery are man-beneficial; “safe color” in coal mining machinery is applied; signals under coalmine are effectively released; noise environment in coalmine are improved. Finally, the future trends of advanced human –engineering are discussed: coalmine safe human-machine engineering, coalmine green human-machine engineering, coalmine virtual human-machine engineering, coalmine intelligentized human-machine engineering, and coalmine digital human-machine engineering, etc.

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