Design on Fault Diagnosis Expert System for Railway Signal Equipment. Wu, G. In pages 36–41, June, 2018. Atlantis Press. ISSN: 2352-5401![Design on Fault Diagnosis Expert System for Railway Signal Equipment [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In view of the fact that the fault of railway signal equipment is difficult to diagnose, this paper designs an expert system to simulate human experts to make decisions and improve the science of fault diagnosis. The design includes four aspects: First, a system structure composed of a database, a knowledge base, an inference engine, and an interpretation...
@inproceedings{wu_design_2018,
title = {Design on {Fault} {Diagnosis} {Expert} {System} for {Railway} {Signal} {Equipment}},
isbn = {978-94-6252-531-3},
url = {https://www.atlantis-press.com/proceedings/icmmct-18/25898536},
doi = {10.2991/icmmct-18.2018.7},
abstract = {In view of the fact that the fault of railway signal equipment is difficult to diagnose, this paper designs an expert system to simulate human experts to make decisions and improve the science of fault diagnosis. The design includes four aspects: First, a system structure composed of a database, a knowledge base, an inference engine, and an interpretation...},
language = {en},
urldate = {2022-03-05},
publisher = {Atlantis Press},
author = {Wu, Guangrong},
month = jun,
year = {2018},
note = {ISSN: 2352-5401},
pages = {36--41},
}
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