Applying system thinking to learn from accident of modern automatic control systems

Ru Niu, Yuan Cao, Xiaocheng Ge, Tao Tang

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Modern societies increasingly rely on automatic control systems. These systems are hardly pure technical systems; instead they are complex socio-technical systems, which consist of technical elements and social components. It is necessary to have a systematic approach to analyze these systems because it is growing evidence that accidents from these systems usually have complex causal factors which form an interconnected network of events, rather than a simple cause-effect chain. We take railway Train control systems (TCS) as an example to demonstrate the importance of the socio-technical approach to analyze the system. The paper presents an investigation of recent high-speed railway accident by applying STAMP one of the most notable socio-technical system analysis techniques, outlines improvements to the system which could avoid similar accidents in the future. We also provide our valuable feedback for the use of STAMP.

LanguageEnglish
Pages409-414
Number of pages6
JournalChinese Journal of Electronics
Volume23
Issue number2
Publication statusPublished - Apr 2014
Externally publishedYes

Fingerprint

Automatic Control
Accidents
Control System
Control systems
Socio-technical Systems
Railway
Systems analysis
Technical Analysis
Feedback
Form Factors
Systems Analysis
Complex Systems
High Speed
Necessary
Demonstrate

Cite this

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Applying system thinking to learn from accident of modern automatic control systems. / Niu, Ru; Cao, Yuan; Ge, Xiaocheng; Tang, Tao.

In: Chinese Journal of Electronics, Vol. 23, No. 2, 04.2014, p. 409-414.

Research output: Contribution to journalArticle

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T1 - Applying system thinking to learn from accident of modern automatic control systems

AU - Niu, Ru

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AU - Tang, Tao

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