Reliability analysis of maintenance data for complex medical devices

Quality and Reliability Engineering International

Volumn 27, Issue 1, 2011, Pages 71-84

  Taghipour, Sharareh ^a   Banjevic, Dragan ^a   Jardine, Andrew K S ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

analysis; inspection; maintenance data; medical devices; reliability; tend test; work orders

Indexed keywords

ANALYSIS; COMPONENT LEVELS; INFUSION PUMP; MEDICAL DEVICES; MISSING INFORMATION; OPTIMIZATION MODELS; TEND TEST; WORK ORDERS;

BIOMEDICAL ENGINEERING; MAINTENANCE; PUMPS; QUALITY ASSURANCE;

RELIABILITY ANALYSIS;

EID: 79551556890     PISSN: 07488017     EISSN: 10991638     Source Type: Journal    
DOI: 10.1002/qre.1084     Document Type: Article

References (19)

1. United States Department of Defense. Reliability prediction of electronic equipment, version F, US Mil-Hdbk-217, 1995.
2. Choi JG, Seong PH,. Reliability of electronic components. Reliability and Risk Issues in Large Scale Safety-critical Digital Control Systems, ch. 1, Seong PH, (ed.). Springer: New York, 2008.
3. Puran L,. Mil-Hdbk-217: What is wrong with it. IEEE Transactions on Reliability 1990; 39 (5): 518.
4. Mortin DE, Krolewski JG, Cushing MJ,. Consideration of component failure mechanisms in the reliability assessment of electronic equipment-Addressing the constant failure rate assumption. Annual Reliability and Maintainability Symposium, Washington, DC, U.S.A., 16-19 January 1995; 54-59.
5. Fries RC,. Reliable Design of Medical Devices. CRC: Boca Raton, 2005.
6. Dhillon BS,. Medical Device Reliability and Associated Areas. CRC: Boca Raton, 2000.
7. Ion RA, Sonnemans PJM, Wensing T,. Reliability prediction for complex medical systems. Reliability and Maintainability Symposium, Newport Beach, CA, U.S.A., 23-26 January 2006; 368-373.
8. Roelfsema S,. Early reliability prediction based on Field Data. Available at:http://alexandria.tue.nl/extra2/afstversl/tm/roelfsema2004.pdf [10 December 2009 ].
9. Ascher HE, Feingold H,. Repairable Systems Reliability: Modeling, Inference, Misconceptions and their Causes. Marcel Dekker: New York, 1984.
10. Atles L,. A Practicum for Biomedical Technology and Management Issues. Kendall/Hunt Publishing Company: Dubuque, 2008.
11. U.S. FDA/CDRH Product code classification database. Available at: http://www.fda.gov/cdrh/prodcode.html [15 June 2005 ].
12. ECRI Institute-Infusion pumps, general-purpose. Available at: www.ECRI.org [10 December 2009 ].
13. Meeker W, Escobar L,. Statistical Methodology for Reliability Data. Wiley: New York, 1998.
14. NIST/SEMATECH e-Handbook of Statistical Methods. Available at: http://www.itl.nist.gov/div898/handbook/ [18 July 2006 ].
15. Ansell JI, Phillips MJ,. Practical Methods for Reliability Data Analysis. Oxford University Press: Oxford, 1994.
16. Trindade D, Nathan S,. Field data analysis for repairable systems: Status and industry trends. Handbook of Performability Engineering, ch. 26, Misra KB, (ed.). Springer: New York, 2008.
17. Nelson W,. An application of graphical analysis of repair data. Quality and Reliability Engineering International 1998; 14 (1): 49-52.
18. Johnston G,. Reliability data analysis in the SAS system. Available at: http://support.sas.com/rnd/app/papers/reliability.pdf [10 December 2009 ].
19. Lehmann A,. Degradation-threshold-shock models. Probability, Statistic and Modelling in Public Health, Nikulin M, Commenges D, Huber C, (eds.). Springer: New York, 2006.