Modeling on the drum loading performance of the Helix Shearer based on partial least square regression

• Published in: International Conference on Advanced Technology of Design and Manufacture (ATDM 2010) pp. 134 - 137
• Main Authors: Yin Li, Zhu Zhencai, Liang Jianyi, Tong Hailong
• Format: Conference Proceeding
• Language: English
• Published: Stevenage IET 2010
• Subjects: Materials handling equipment; Mining, oil drilling and natural gas industries; Numerical analysis; Production equipment; Statistics; cutting tools; least squares approximations; mining shearer drum; regression analysis; drum loading coal process; helix shearer; mining equipment; analogy theory; loading equipment; drums hub angle; drum rotating speed; orthogonal method; partial least square regression model; coal; haulage speed
• ISBN: 9781849192385; 1849192383
• DOI: 10.1049/cp.2010.1274

In order to get the accurate and quantificational loading performance model of the Shearer drum, the relevant abbreviated experiment is designed to simulate the drum loading coal process in the different working conditions according to the analogy theory. Select drum's rotated speed, haulage speed and the angle of drum's hub to be variables of the regression model. Experiment data are gotten by the orthogonal method. The regression model is identified by PLSR (Partial Least Square Regression) method to get model's coefficients. The results of the simulation and experiment prove that this kind of method not only can build the model of loading performance correctly and effectively but also have the advantages of fewer experiments, less amount of calculation, stronger ability of the model forecast. The coefficients of the regression model have more actual meaning.