Fault diagnosis research for full hydraulic braking system of trackless tyred vehicle

LIU Zhihai; YANG Kaidi; ZHANG Ronghua; LI Xiangqian; LI Jianzhong

doi:10.13272/j.issn.1671-251x.2016.10.007

Volume 42 Issue 10

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LIU Zhihai, YANG Kaidi, ZHANG Ronghua, et al. Fault diagnosis research for full hydraulic braking system of trackless tyred vehicle[J]. Industry and Mine Automation, 2016, 42(10): 30-34. doi: 10.13272/j.issn.1671-251x.2016.10.007

Citation:

LIU Zhihai, YANG Kaidi, ZHANG Ronghua, et al. Fault diagnosis research for full hydraulic braking system of trackless tyred vehicle[J]. Industry and Mine Automation, 2016, 42(10): 30-34. doi: 10.13272/j.issn.1671-251x.2016.10.007

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Fault diagnosis research for full hydraulic braking system of trackless tyred vehicle

doi: 10.13272/j.issn.1671-251x.2016.10.007

1.
Transportation College, Shandong University of Science and Technology, Qingdao 266590, China
2.
College of Machinery and Electronics Engineering, Shandong University of Science and Technology,Qingdao

Publish Date: 2016-10-10

Abstract

Abstract

To solve problem that full hydraulic braking system of trackless tyred vehicle was prone to failure in harsh environment of coal mine, a fault diagnosis method based on support vector machine was proposed. The support vector machine regression estimate algorithm was applied to establish fault prediction model of the full hydraulic braking system, while pattern classification algorithm was used to isolate fault, and fault diagnosis tests and isolation experiments were carried out in Matlab environment. The experiment results show that it is entirely feasible to use fault diagnosis method based on support vector machine to diagnose fault of full hydraulic braking system of trackless tyred vehicle, which can improve fault detection efficiency and diagnostic accuracy.
- 1.Transportation College, Shandong University of Science and Technology, Qingdao 266590, China,
- 2.College of Machinery and Electronics Engineering, Shandong University of Science and Technology,Qingdao,