1 |
Brown, L. M. (2004), Camparing Reliability Predictions to Field Data for Plastic Parts in a Military, Airborne Environment, Reliability Analysis Center(RAC).
|
2 |
Dylis, D. D. (2004), A Comprehensive Reliability Assessment Tool for Electronic Systems, Reliability Analysis Center(RAC),
|
3 |
Fuqua, N. B. (2005), Electronic Reliability Prediction, Selected Topics in Assurance Related Technologies.
|
4 |
ITEM Software (2007), Reliability Prediction Basics.
|
5 |
Jeon, T.-B. (2007), Comparison of Reliability Prediction Specifications through Some Electronic Parts, Journal of Industrial Technology, Kangwon Natl, Univ. Korea, 27B, 255-261.
|
6 |
Jeon, T.-B. (2009), An Overview on the Emergence of the Reliability Prediction Methodology , Journal of Industrial Technology, Kangwon Natl, Univ. Korea, 29A, 28-36.
|
7 |
Jung, H.-S., Kwan, Y.-I., and Park, D.-H. (2009), Reliability Test and Analysis, Youngchi-munhwa-sa.
|
8 |
Kim, Y.-I., Byun, K.-S., and Kim, H.-T. (2009), Case Study on Improvement of Reliability Prediction Accuracy in Development Phase for Aircraft, The Korean Society For Aeronautical Science And Flight Operation, 25-31.
과학기술학회마을
|
9 |
Lee, D.-K. and Shim, J. H. (2010), Reliability Prediction using Telcordia SR-332 Issue 2, The Korean Society for Railway, 2242-2248.
과학기술학회마을
|
10 |
Lee, Y.-E., Choi, J.-Y., and Kang, J.-Y. (2010), Mission Reliability Analysis and Prediction for Aircraft System based on FA-50 Aircraft Development Experience.
|
11 |
MIL-HDBK-217F Notice 2 (1995), Military Handbook, Reliability Prediction of Electronic Equipment, Department of Defense.
|
12 |
MIL-HDBK-338B (1998), Electronic Reliability Design Handbook.
|
13 |
MIL-STD-756B (1981), Reliability Modeling and Prediction.
|
14 |
MIL-STD-785B (1980), Reliability Program for Systems and Equipment Development and Production.
|
15 |
Moasoft (2002), A Guide Book for Reliability Prediction.
|
16 |
Raghuram, R. (2008), HCL, Challenges in Reliability Prediction of Aircraft Subsystems.
|
17 |
Smith, C. L. (2004), Raytheon Assessment of PRISM As a Field Failure Prediction Tool, Raytheon Company.
|