FMEA Based Risk Assessment of Component Failure Modes in Industrial Radiography
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : Alok Pandey, Meghraj Singh, A. U. Sonawane, Prashant S. Rawat
|DOI : 10.14445/22315381/IJETT-V39P237|
Alok Pandey, Meghraj Singh, A. U. Sonawane, Prashant S. Rawat "FMEA Based Risk Assessment of Component Failure Modes in Industrial Radiography", International Journal of Engineering Trends and Technology (IJETT), V39(4),216-225 September 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Industrial radiography hasits inimitable role in non-destructive examinations. Industrial radiography devices, consisting of significantly high activity of the radioisotopes, are operated manually by remotely held control unit. Malfunctioning of these devices may cause potential exposure to the operator and nearby public, and thus should be practicedunder a systematic risk control. To ensure the radiation safety, proactive risk assessment should be implemented. Risk assessment in industrial radiography using the Failure Modes & Effect Analysis (FMEA) for the design and operation of industrial radiography exposure devices has been carried out in this study. Total 56component failure modes were identified and Risk Priority Numbers (RPNs) were assigned by theFMEAexpert team, based on the field experience and reported failure data of various components. Results shows all the identified failure modes have RPN in the range of 04 to 216 and most of the higher RPN are due to low detectability and high severity levels.Assessment reveals that increasingfailure detectability is a practical and feasible approachto reduce the risk in most of the failure modes of industrial radiography devices. Actions for reducing RPN for each failure mode have been suggested.Feasibility of FMEA for risk assessment in industrial radiography has been established by this study.
 IAEA (1998) Lessons Learned From Accidents in Industrial Radiography, Safety Reports Series No. 7
 ISO (2004) Radiation protection Apparatus for industrial gamma radiography Specifications for performance, design and tests ISO-3999
 IAEA (2011) Radiation Safety in Industrial Radiography, SSG-11
 ICRP (1996) Protection from Potential Exposures: Application to selected radiation sources, ICRP- 76
 IAEA (2006) Case studies in the application of probabilistic safety assessment techniques to radiation sources, IAEATECDOC- 1494, 2006
 IAEA (2002) Procedures for conducting probabilistic safety assessment for non-reactor nuclear facilities, IAEA-TECDOC- 1267, 2002
 Hu-Chen Liu, Long Liu, Nan Liu,Risk evaluation approaches in failure mode and effects analysis: A literature review, Expert Systems with Applications 40 (2013) 828–838
 Eavan Thornton, Olga R. Brook, Mishal Mendiratta-Lala, Donna T. Hallett, Jonathan B. Kruskal, Application of failure modes and effect analysis in a radiology department, RadioGraphics, Vol 32, No. 1 (2011) pp 281-293
 Chang, K. H., Cheng, C. H., & Chang, Y. C. (2010). Reprioritization of failures in a silane supply system using an intuitionistic fuzzy set ranking technique. Soft Computing, 14, 285–298.
 Wang Y M, Chin K S, Poon G K and Yang J B, Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean Expert Syst. Appl. 36 (2009) (2 PART 1) 1195–207
 Sharma, R. K., Kumar, D., & Kumar, P. (2008). Predicting uncertain behavior of industrial system using FM—A practical case. Applied Soft Computing, 8, 96–109.
 M Giardina F Castiglia and E Tomarchio, Risk assessment of component failure modes and human errors using a new FMEA approach: application in the safety analysis of HDR brachytherapy, J. Radiol. Prot. 34 (2014) 891–914
 Scorsetti M, Signori C, Lattuada P, Urso G, Bignardi M, Navarria P, Castiglioni S, Mancosu P and Trucco P, Applying failure mode effects and criticality analysis in radiotherapy: lessons learned and perspectives of enhancement Radiother. Oncol. 94(2010) 367–74
 Fereidoon Marefat, M. Reza Faghedi, A.Reza Khodabandeh, M.Reza Afshar, A. Ali Amadesh, Risk and Reliability of Radiographic and Phased Array Ultrasonic Test on the Inspection of Boiler Connections, Based on FMEA Model, (2012), 18th World Conference on Non Destructive Testing, 16-20 April, Durban, South Africa
 Mandal S and Maiti J, Risk analysis using FMEA: fuzzy similarity value and possibility theory based approach Expert Syst. Appl. 41 (2014) 3527–37
 Kahraman C, Kaya I and Senvar O, Healthcare failure mode and effects analysis under fuzziness Hum. Ecol. Risk Assess. 19 (2003) 538–52
 Guimarães A C F and Lapa C M F, Fuzzy inference to risk assessment on nuclear engineering systems Appl. Soft Comput. 7 (2007) 17–28
 Pillay A and Wang J, Modified failure mode and effects analysis using approximate reasoning Reliab. Eng. Syst. Saf. 79, (2003), 69–85
 Liu H C, Liu L, Liu N and Mao L X, Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment Expert Syst. Appl. 39 (2012) 12926–34
 Liu H C, Liu L, Bian Q H, Lin, Q L, Dong N and Xu P C, Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory Expert Syst. Appl. 38 (2011), 4403–15
 Thornton E, Brook O R, Mendiratta-Lala M, Hallett D T and Kruskal J B, Application of failure mode and effect analysis in a radiology department Radiographics 31 (2011) 281–93
 Xu K, Tang L C, Xie M, Ho S L and Zhu M L, Fuzzy assessment of FMEA for engine systems Reliab. Eng. Syst. Safety 75(2002) 17–29
 Sawant A, Dieterich S, Svatos M and Keall P, Failure mode and effect analysis-based quality assurance for dynamic MLC tracking systems Med. Phys. 8 (2010) 646–79
 Lipol L S and Haq J, Risk analysis method: FMEA/FMEA in the organizations Int. J. Basic Appl. Sci. 5 (2011) 74–82
 Serafini, G. Troiano, E Franceschini, P Calzoni, N. Nante & C. Scapellato, Use of a systematic risk analysis method (FMEA) to improve quality in a clinical laboratory procedure, Ann Ig 2016; 28: 288-295.
FMEA, risk assessment, industrial radiography, potential exposure, risk priority number, radiation safety.