A5103147695- Geoscience and Mining Technology
- Coal Properties and Utilization
- Mineral Processing and Grinding
- Occupational Health and Safety Research
- Belt Conveyor Systems Engineering
- Machine Fault Diagnosis Techniques
China University of Mining and Technology
2023-2024
Shanxi Datong University
2023-2024
Coal mine roof accidents pose a significant threat to the safety of personnel and equipment. To mitigate these risks, this study presents an improved time-series prediction model, called Nadam-LSTM, for mining pressure data at working face in coal mines. The Nadam-LSTM model combines long short-term memory neural networks (LSTM) with Nadam optimization algorithm accurately forecast enhance measures. incorporates multiple parameters by utilizing factor analysis identify key variables...
Addressing the challenges of current scraper conveyor health assessments being influenced by expert knowledge and relative difficulty in establishing degradation models for equipment, this study proposed a method assessing status conveyors based on one-dimensional convolutional neural networks (1DCNN). The approach utilizes four preprocessed monitoring signals representing different states as input sources. Through multiple transformations data using constructed network model, it extracts...