Analysis and Prediction of Hydraulic Support Load Based on Time Series Data Modeling
Hydraulic support plays a key role in ground control of longwall mining. The smart prediction methods of support load are important for achieving intelligent mining. In this paper, the hydraulic support load data is decomposed into trend term, cycle term, and residual term, and it is found that the...
Main Authors: | Yi-Hui Pang, Hong-Bo Wang, Jian-Jian Zhao, De-Yong Shang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
|
Series: | Geofluids |
Online Access: | http://dx.doi.org/10.1155/2020/8851475 |
Similar Items
-
Study on hydraulic characteristic of series of sabo dams
by: Pan, Jian Zhong, et al.
Published: (1995) -
Predictive Analysis of Automobile Insurance on Time Series Data
by: Hui-Yu Yu, et al.
Published: (2017) -
Data Collecting and Processing System and Hydraulic Control System of Hydraulic Support Model Test
by: Hong-Yu LIU, et al.
Published: (2014-10-01) -
Investigation of Event-Prediction in Time-Series Data : How to organize and process time-series data for event prediction?
by: Pradhan, Shameer Kumar
Published: (2019) -
Financial Time Series Prediction Model Based on Hilbert-Huang Transform and Artificial Neural Network
by: Jian-Yi Hong, et al.
Published: (2010)