Skip to main navigation Skip to search Skip to main content

A real time flight deck safety monitoring system based on support vector machine

  • Zhaoguo Zhang*
  • , Xiaoyun Wang
  • , Tingdi Zhao
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In complex system, the safety incidents and accidents often result in a great loss of personnel and equipment. However, the traditional alarming system and applications might not capable to meet the requirements of system safety control. In engineering applications, the lack of accidents samples impacts the accuracy of predictions for potential accidents, how to use a small amount of observational data to assess the relationship between operation data and safety has become an important issue in prediction and assessment of system safety. Considering the lacking of incident samples during system operations, we purposed a system safety monitoring and trend predicting method based on support vector machine (SVM), established a system safety trend prediction model and processes, the case application verified the validity and accuracy of the method.

Original languageEnglish
Title of host publicationICRMS'2011 - Safety First, Reliability Primary
Subtitle of host publicationProceedings of 2011 9th International Conference on Reliability, Maintainability and Safety
Pages481-486
Number of pages6
DOIs
StatePublished - 2011
Event2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011 - Guiyang, China
Duration: 12 Jun 201115 Jun 2011

Publication series

NameICRMS'2011 - Safety First, Reliability Primary: Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety

Conference

Conference2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011
Country/TerritoryChina
CityGuiyang
Period12/06/1115/06/11

Keywords

  • Deck Foul
  • Safety
  • Safety Monitoring
  • Support Vector Machine (SVM)

Fingerprint

Dive into the research topics of 'A real time flight deck safety monitoring system based on support vector machine'. Together they form a unique fingerprint.

Cite this