RESEARCH ON AUTOMATIC MONITORING AND FAULT DIAGNOSIS SYSTEM OF UNMANNED CABIN

Authors

  • Xu Yuan School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu Province, 212003
  • Ji Peng School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu Province, 212003
  • Dai Yang School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu Province, 212003
  • Ruan Shi-hao School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu Province, 212003

DOI:

https://doi.org/10.53555/eijse.v3i1.45

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.

References

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Published

2017-03-27

Issue

Vol. 3 No. 1 (2017): EPH - International Journal of Science And Engineering (ISSN: 2454 - 2016)

Section

Articles

License

Copyright (c) 2017 EPH - International Journal of Science And Engineering (ISSN: 2454 - 2016)

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.