The DOI matches its Crossref record.
Comprehensive Model for Humidity Testing Correlation
Abstract
This paper reviews all published life in humidity conditions vs life at 85C/85% RH for epoxy packages; 61 data points are used. An acceleration formula is described which provides direct extrapolation from test results in autoclave tests at up to at least 140C to low-humidity down to below 30XRH. This formula compares favorably with previously-published formulae. The possible effect of the Tg of the epoxy is recognized, and other high-temperature and low-humidity effects are disclosed. Recommendat ions are made for future tests, replacing 1000 hours at 85C/85%RH with a 20-hour test at 140C/100%RH, to reduce test time and increase test usefulness.
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Citations
Cited by
A Review of Accelerated Test Models
Escobar, L. A., & Meeker, W. Q. (2006) · Statistical Science · doi:10.1214/088342306000000321 · Cited by 640
McPherson, J. W. (2018) · 2018 IEEE International Reliability Physics Symposium (IRPS) · doi:10.1109/irps.2018.8353556 · Cited by 24
Metadata
- Authors
- Peck, D. S.
- Venue
- 24th International Reliability Physics Symposium
- Publisher
- IEEE
- Published
- 1986-04
- Pages
- 44-50
- ISSN
- 0735-0791 (ISSN-L)
- OpenAlex
- W2054508975
- Cited by
- 213
- References
- 0
- FWCI
- 5.74
- Type
- conference paper
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Comprehensive Model for Humidity Testing Correlation. https://app.cochat.ai/papers/10.1109/irps.1986.362110
- The paper
- Peck, D. S. (1986). Comprehensive Model for Humidity Testing Correlation. 24th International Reliability Physics Symposium. https://doi.org/10.1109/irps.1986.362110
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
