System safety engineering approach and concepts for autonomous work-machine applications

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

Abstract

Autonomous machines are complex machines that are able to perform independent decision-making and to operate without operator’s continuous activities. Increasing autonomy and system complexity create new challenges to safety engineering. In this paper, we describe a safety engineering approach that has been developed in VTT together with Luke for autonomous work-machine applications in close collaboration with machine manufacturers and system suppliers. The main motivation has been to support early development phases of novel automation technologies and system operating concepts. The approach focuses on system-level safety issues arising from the shift from individual manual mobile machines to autonomous machinery systems. It utilizes elements from system safety engineering methods and guidelines adopted from the latest safety standards for autonomous or highly automated machinery, as well as the goal-based safety case approach to support safety qualification activities. The approach and methods have been successfully applied to identify and analyze autonomy related safety risks in several industrial cases.
Original languageEnglish
Title of host publication2019 World Congress: Resilience, Reliability and Asset Management
Subtitle of host publicationConference proceedings
PublisherFuture Resilient Systems (FRS)
Pages144-147
Publication statusPublished - 2019
MoE publication typeD3 Professional conference proceedings
EventWorld Congress on Resilience, Reliability and Asset Management, WCRRA 2019 - Singapore, Singapore
Duration: 28 Jul 201931 Jul 2019
http://resilienceconference.ethz.ch/

Conference

ConferenceWorld Congress on Resilience, Reliability and Asset Management, WCRRA 2019
Abbreviated titleWCRRA 2019
CountrySingapore
CitySingapore
Period28/07/1931/07/19
Internet address

Fingerprint

Safety engineering
Systems engineering
Machinery
Automation
Decision making

Keywords

  • System safety
  • Risk assessment
  • Safety case
  • Autonomous mobile machinery

Cite this

Tiusanen, R., Heikkilä, E., Malm, T., & Ronkainen, A. (2019). System safety engineering approach and concepts for autonomous work-machine applications. In 2019 World Congress: Resilience, Reliability and Asset Management: Conference proceedings (pp. 144-147). Future Resilient Systems (FRS).
Tiusanen, Risto ; Heikkilä, Eetu ; Malm, Timo ; Ronkainen, Ari. / System safety engineering approach and concepts for autonomous work-machine applications. 2019 World Congress: Resilience, Reliability and Asset Management: Conference proceedings. Future Resilient Systems (FRS), 2019. pp. 144-147
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Tiusanen, R, Heikkilä, E, Malm, T & Ronkainen, A 2019, System safety engineering approach and concepts for autonomous work-machine applications. in 2019 World Congress: Resilience, Reliability and Asset Management: Conference proceedings. Future Resilient Systems (FRS), pp. 144-147, World Congress on Resilience, Reliability and Asset Management, WCRRA 2019, Singapore, Singapore, 28/07/19.

System safety engineering approach and concepts for autonomous work-machine applications. / Tiusanen, Risto; Heikkilä, Eetu; Malm, Timo; Ronkainen, Ari.

2019 World Congress: Resilience, Reliability and Asset Management: Conference proceedings. Future Resilient Systems (FRS), 2019. p. 144-147.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

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T1 - System safety engineering approach and concepts for autonomous work-machine applications

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PY - 2019

Y1 - 2019

N2 - Autonomous machines are complex machines that are able to perform independent decision-making and to operate without operator’s continuous activities. Increasing autonomy and system complexity create new challenges to safety engineering. In this paper, we describe a safety engineering approach that has been developed in VTT together with Luke for autonomous work-machine applications in close collaboration with machine manufacturers and system suppliers. The main motivation has been to support early development phases of novel automation technologies and system operating concepts. The approach focuses on system-level safety issues arising from the shift from individual manual mobile machines to autonomous machinery systems. It utilizes elements from system safety engineering methods and guidelines adopted from the latest safety standards for autonomous or highly automated machinery, as well as the goal-based safety case approach to support safety qualification activities. The approach and methods have been successfully applied to identify and analyze autonomy related safety risks in several industrial cases.

AB - Autonomous machines are complex machines that are able to perform independent decision-making and to operate without operator’s continuous activities. Increasing autonomy and system complexity create new challenges to safety engineering. In this paper, we describe a safety engineering approach that has been developed in VTT together with Luke for autonomous work-machine applications in close collaboration with machine manufacturers and system suppliers. The main motivation has been to support early development phases of novel automation technologies and system operating concepts. The approach focuses on system-level safety issues arising from the shift from individual manual mobile machines to autonomous machinery systems. It utilizes elements from system safety engineering methods and guidelines adopted from the latest safety standards for autonomous or highly automated machinery, as well as the goal-based safety case approach to support safety qualification activities. The approach and methods have been successfully applied to identify and analyze autonomy related safety risks in several industrial cases.

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Tiusanen R, Heikkilä E, Malm T, Ronkainen A. System safety engineering approach and concepts for autonomous work-machine applications. In 2019 World Congress: Resilience, Reliability and Asset Management: Conference proceedings. Future Resilient Systems (FRS). 2019. p. 144-147