Scholarly record
UNCERTAINTY ON SPARK IGNITION ASSESSMENT
Abstract
In the paperwork are presented aspects regarding uncertainty involved in the process of spark ignition assessment for intrinsically safe equipment. In the first part of the paper was presented the explosion risk. In the field of power generation and also, in a lot of other fields of industrial activities, the occurrence of flammable substances is a common fact. As a consequence, an explosion risk can occur. On the other hand, the installations placed in areas endangered by presence of flammable substances should be operational and therefore, powered. Those installations and equipment, in order to safely operate, should be assessed, tested and certified. For the low current equipment and installations, the assessment involves a computational process which has as input the electrical parameters and also, ignition curves. Due to the logarithmic scale used for the ignition curves an amplified effect of input parameters uncertainty is expected. An assessed item of equipment should meet the safety requirements. Regarding the hazard of ignition is needed that the computed safety coefficient to be at least 1 or 1.5 depending on the equipment category. The theoretical stochastic model involved for this approach is described in the second part of the paper. In the third part are presented the results of simulation and their analysis. The main conclusion is that the uncertainty of input electrical parameters exhibits an asymmetric amplification effect on computed safety coefficients. Another conclusion is that the uncertainty amplification coefficient is depending on the slope of the ignition curves used for the computation of safety coefficients.
Publication Impact Profile
Publication details
References9
Cioclea Doru, Artur George G?man, Ion Gherghe, Florin R?doi,Corneliu Boant?, Vlad Pasculescu, Possibilities to priorly establish the structures of ventilation networks affected by underground explosions, The 24th International Mining Congress and Exhibition of Turkey, 14 – 17 April 2015, Antalya, Turcia, ISBN 978-605-01-0705-0, Pag. 991-997, 2015
Darie M., Ionescu J., Burian S., Csaszar T., Moldovan L., (2012), Ignition probability assessment of low current circuits designed for use in explosive atmospheres, Environmental Engineering and Management Journal, volume 11/2012, No.5
Delignette-Muller M.L., Dutang C., Denis J.B, Siberchicot A., (2017) Help to Fit of a Parametric Distribution to Non-Censored or Censored Data available https://cran.r-project.org/web/packages/fitdistrplus/index.html.
Johansmeyer U., (1994), Investigations into the Intrinsic Safety of field bus systems, PTB-Bericht.
Plummer M., Stukalov A., Denwood M., (2016), Bayesian Graphical Models using MCMC, available https://cran.r-project.org/web/packages/rjags/index.html.
Plummer M., Best N., Cowles K., Vines K., Sarkar D., Bates D., Almond R., Magnusson A., (2016) Output Analysis and Diagnostics for MCMC available https://cran.r-project.org/web/packages/coda/index.html.
Standard IEC 60079-11: 2012 - Explosive atmospheres -- Part 11: Equipment protection by intrinsic safety "i".
R Development Core Team (2008). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.
R Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

