Research on Automatic Monitoring and Fault Diagnosis System of Unmanned Cabin

  • Xu Yuan Jiangsu University of Science and Technology, Zhenjiang,
  • Ji Peng Jiangsu University of Science and Technology, Zhenjiang
  • Dai Yang Jiangsu University of Science and Technology, Zhenjiang
  • Ruan Shi- hao Jiangsu University of Science and Technology, Zhenjiang
Keywords: engine room monitoring, LabVIEW, ant colony algorithm, fault diagnosis, fuzzy neural network

Abstract

Based on the theory of virtual instrument, test technology, fuzzy neural network and ant colony algorithm, this paper studies the design, fault feature extraction and diagnosis method of engine room monitoring module, Optimization of Fuzzy Neural Network Based on Group Algorithm. This is researched on Fault Diagnosis of Marine Diesel Engine Based on LabVIEW. In order to solve the shortcomings of the traditional development software (VB, VC ++, C language, etc.), Developing the long developing period, slow running speed, debugging and maintenance difficulty and difficult to realize system redundancy in the engine room monitoring system, The engine room monitoring and fault diagnosis system is designed. To achieve the cabin parts of the signal acquisition, processing, centralized display, alarm control.

Author Biographies

Xu Yuan, Jiangsu University of Science and Technology, Zhenjiang,

School of Electronics and Information

Ji Peng, Jiangsu University of Science and Technology, Zhenjiang

School of Electronics and Information

Dai Yang, Jiangsu University of Science and Technology, Zhenjiang

School of Electronics and Information

Ruan Shi- hao, Jiangsu University of Science and Technology, Zhenjiang

School of Electronics and Information

Published
2017-02-28
How to Cite
[1]
X. Yuan, J. Peng, D. Yang, and R. hao, “Research on Automatic Monitoring and Fault Diagnosis System of Unmanned Cabin”, EPH - International Journal of Science And Engineering (ISSN: 2454 - 2016), vol. 3, no. 2, pp. 01-07, Feb. 2017.