Fault Diagnosis Expert System of Continuous Miner Hydraulic System

Xiao Huo Li; Ren Peng Tang; Yong Dong Sha; Shuai Wi Bai; Jing Hui Zhang

doi:10.4028/www.scientific.net/AMR.619.463

Paper Titles

Diagnosis and Management of the Polluted Hydraulic Oil
p.447

Simulated Research for Effect of Mixer Shaft Speed on Flow Field in Mixing Machine
p.451

Based on Fluid Digital Transmission and Control Theory on Application of Digital Hydraulic Valve
p.455

Huge Forging Equipment Hydraulic System Dynamic Analysis
p.459

Fault Diagnosis Expert System of Continuous Miner Hydraulic System
p.463

Dynamic Characteristic Analysis on Hydraulic Control System for Cutting System of Longitudinal Roadheaders
p.467

Stability of Velocity-Loop-Based Hydraulic Control Loading System
p.472

The Roadheader Rear Support System Modeling and Mechanical-Hydraulic Coupling System Co-Simulation Research
p.476

Electrode Feeding Speed Control and Experiment Research of ESR Furnace Based on S Style Control Curve
p.480

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 619Fault Diagnosis Expert System of Continuous Miner...

Fault Diagnosis Expert System of Continuous Miner Hydraulic System

Abstract:

In order to fine working states of a continuous miner hydraulic system, diagnose quickly and effectively its faults, reduce failure rate, save maintenance time and improve the reliability and productivity of a continuous miner, the GA-PSO hybrid optimization method of fuzzy neural network is used in fault diagnosis of a continuous miner hydraulic system in the paper, a intelligent fault diagnosis expert system of a hydraulic system is designed by means of taking VC 6.0 as the programming platform, using SQL SERVER 2000 as database, embedding MATLAB7.1 in the internal. The system is simple in man-machine interface and good in man-machine conversation, capable of analyzing accurately and judging properly failures of a continuous miner hydraulic system.

You might also be interested in these eBooks

Hydraulic Equipment and Support Systems for Mining

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 619)

Pages:

463-466

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.619.463

Citation:

Cite this paper

Online since:

December 2012

Authors:

Xiao Huo Li, Ren Peng Tang, Yong Dong Sha, Shuai Wi Bai, Jing Hui Zhang

Keywords:

Continuous Miner, Expert System, Fault Diagnosis, Hydraulic System, Neural Network (NN)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] F.F. Roxborough, E.J. Pedroncell, A practical evaluation of some coal-cutting theories using a continuous miner, The Mining Engineer, Vol. 142(1982) No. 252, pp.145-156.

Google Scholar

[2] R.M. Miser, K.D. Beck, W. Ramer, Operational experience with a 30M2 continuous miner at Wabash mine, Coal International, Vol. 251(2003) No. 6, pp.242-245.

Google Scholar

[3] Xiaohuo Li, Xiaohng Ma, Visual simulation study of pick load on continuous miner, Key Engineering Materials, Vols. 392-394(2009), pp.471-475.

DOI: 10.4028/www.scientific.net/kem.392-394.471

Google Scholar

[4] Shaofu Huang, Qing He, Study on fault detection of continuous miner, China Measurement & Testing Technology, (2004) No. 3, pp.25-27(In China).

Google Scholar

[5] Xiaohuo Li, Jinghui Zhang. Failure diagnosis for transport system of continuous miner on neural network improved GA and PSO algorithm. The Proceedings of the China Association for Science and Technology, Science press & SCIENCE Press USA Inc, Vol. 6 (2009).

Google Scholar

[6] Wanqiu Xi, Online diagnosis and maintenance system of continuous miner, Coal Technology, (1997) No. 3, pp.19-22(In China).

Google Scholar