Open AccessFault diagnosis mechanism of gears and bearings for coal mining equipment in a complex geological environment
Author(s) -
Shuilin Wang,
Songyong Liu,
Fanping Meng
Publication year - 2021
Publication title -
earth sciences research journal/earth sciences research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.181
H-Index - 15
eISSN - 2339-3459
pISSN - 1794-6190
DOI - 10.15446/esrj.v25n1.93184
Subject(s) - fault (geology) , bearing (navigation) , coal mining , coal , segmentation , mechanism (biology) , computer science , mining engineering , data mining , pattern recognition (psychology) , artificial intelligence , engineering , geology , seismology , philosophy , epistemology , waste management
The traditional research method of fault diagnosis mechanism has poor stability, which leads to the difference of fault diagnosis and location results. Therefore, under the complex geological environment, a new research method of fault diagnosis mechanism of gear and bearing for coal mining equipment is proposed. This method calculates gears and bearings’ yield strength by analyzing coal mining equipment’s bearing capacity elasticity. According to the fitting degree, the equipment sample’s projection space is confirmed, the fault features of gear and bearing are extracted by segmentation algorithm, the optimal fitness is set by positioning algorithm, the location of fault center is obtained, and the fault mechanism diagnosis is studied. Experimental results show that compared with the traditional method, the proposed method is more stable, and the difference in fault diagnosis results is minimal. It can be seen that this method is more suitable for fault diagnosis of coal mining equipment.