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Universidade Federal de Santa catarina (UFSC)
Programa de Pós-graduação em Engenharia, Gestão e Mídia do Conhecimento (PPGEGC)
Detalhes do Documento Analisado

Centro: Não Informado

Departamento: Não Informado

Dimensão Institucional: Pós-Graduação

Dimensão ODS: Econômica

Tipo do Documento: Dissertação

Título: METHOD FOR APPLICATION OF WEIBULL DISTRIBUTION TO THE RELIABILITY CALCULATION OF FUNCIONAL SAFETY FOR INDUSTRIAL MACHINERY.

Orientador
  • UBIRAJARA FRANCO MORENO
Aluno
  • IGOR RIBEIRO KUHLHOFF

Conteúdo

The iec 61508 standard series defined a framework for quantification of functional safety. for each particular industry sector, specific standards are being developed based on it. this framework is well suited for electrical and electronic components. however, in the field of machinery, control systems are realized not only by such components, but also by mechanical, pneumatic and hydraulic components, which exhibit a different failure behavior. such components are considered by the iso 13849 standard. however, quantification methods of this standard are still not quite well understood by the users, and have strong limitations. this work presents a study an alternative method of how to calculate the average frequency of dangerous failures (pfh), required by iso 13849 in order to achieve a performance level (pl). this alternative method includes modeling safety functions as reliability block diagram and evaluation of pfh using the software blocksim, through discrete event simulation. modeling hypothesis and limitations are discussed. the proposed method enables calculation of the standard’s cases, as well as consideration of different failure distributions, of which weibull distribution is considered. a study case considering weibull distributed failures is presented. applicability of the method is also discussed.

Índice de Shannon: 3.98399

Índice de Gini: 0.936105

ODS 1 ODS 2 ODS 3 ODS 4 ODS 5 ODS 6 ODS 7 ODS 8 ODS 9 ODS 10 ODS 11 ODS 12 ODS 13 ODS 14 ODS 15 ODS 16
4,98% 6,07% 7,61% 6,22% 6,53% 5,38% 6,19% 7,84% 7,38% 5,46% 7,53% 5,52% 4,89% 6,73% 5,30% 6,37%
ODS Predominates
ODS 8
ODS 1

4,98%

ODS 2

6,07%

ODS 3

7,61%

ODS 4

6,22%

ODS 5

6,53%

ODS 6

5,38%

ODS 7

6,19%

ODS 8

7,84%

ODS 9

7,38%

ODS 10

5,46%

ODS 11

7,53%

ODS 12

5,52%

ODS 13

4,89%

ODS 14

6,73%

ODS 15

5,30%

ODS 16

6,37%