Contribution of dynamic experience feedback to the quantitative estimation of risks for preventing accidents: A proposed methodology for machinery safety

Safety Science

Volumn 88, Issue , 2016, Pages 64-75

  Jocelyn, Sabrina ^a,b   Chinniah, Yuvin ^b   Ouali, Mohamed Salah ^b  

^a INSTITUT DE RECHERCHE ROBERT SAUVÉ EN SANTÉ ET EN SÉCURITÉ DU TRAVAIL   (Canada)

^b ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

Accident; Experience feedback; Logical Analysis of Data (LAD); Machinery safety; Quantitative risk estimation; Updating risk

Indexed keywords

ACCIDENTS; ARTIFICIAL INTELLIGENCE; INFORMATION ANALYSIS; MACHINERY; RISK ASSESSMENT; SAFETY ENGINEERING;

ARTIFICIAL INTELLIGENCE TECHNIQUES; EXPERIENCE FEEDBACK; EXTRACT INFORMATIONS; LOGICAL ANALYSIS OF DATA; MACHINERY SAFETY; METHODOLOGICAL APPROACH; QUANTITATIVE ESTIMATION; QUANTITATIVE RISK;

RISK PERCEPTION;

ACCIDENT PREVENTION; ARTICLE; ARTIFICIAL INTELLIGENCE; DATA ANALYSIS SOFTWARE; FEASIBILITY STUDY; HUMAN; INFORMATION RETRIEVAL; MACHINERY SAFETY; MAN MACHINE INTERACTION; OCCUPATIONAL ACCIDENT; OCCUPATIONAL HAZARD; OCCUPATIONAL SAFETY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; WORKPLACE;

EID: 84964923536     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2016.04.024     Document Type: Article

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