The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A prognostics and health management roadmap for information and electronics-rich systems
Overview
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Citations
Cites
Prognostics methods for battery health monitoring using a bayesian framework
Saha, B., Goebel, K., Poll, S., & Christophersen, J. (2009) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2008.2005965 · Cited by 831
Computer Crash — Lessons from a System Failure
Kilbridge, P. (2003) · New England Journal of Medicine · doi:10.1056/nejmp030010 · Cited by 72 · cited 1×
“…failures dominated the front pages of newspapers in early summer 2009, other information system failures have occurred in aerospace [1], telecom networks [2], computers [3], and data servers [4] [5], as well as electrical power grids [6], energy generation equipment [7], and healthcare systems [8].”
Background
Cited by
Remaining useful life estimation – A review on the statistical data driven approaches
Si, X.-S., Wang, W., Hu, C.-H., & Zhou, D.-H. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2010.11.018 · Cited by 2,162
An Overview of Artificial Intelligence Applications for Power Electronics
Zhao, S., Blaabjerg, F., & Wang, H. (2021) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2020.3024914 · Cited by 947
An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries
Liu, J., Saxena, A., Goebel, K., Saha, B., & Wang, W. (2010) · Annual Conference of the PHM Society · doi:10.36001/phmconf.2010.v2i1.1896 · Cited by 274
Javed, K., Gouriveau, R., & Zerhouni, N. (2017) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.01.050 · Cited by 217
Lithium-Ion Battery Prognostics with Hybrid Gaussian Process Function Regression
Peng, Y., Hou, Y., Song, Y., Pang, J., & Liu, D. (2018) · Energies · doi:10.3390/en11061420 · Cited by 69
Metadata
- Authors
- Pecht, M., & Jaai, R.
- Venue
- Microelectronics Reliability
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 50
- Issue
- 3
- Pages
- 317-323
- ISSN
- 0026-2714 (ISSN-L)
- OpenAlex
- W2996059456
- Cited by
- 309
- References
- 2
- FWCI
- 60.94
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A prognostics and health management roadmap for information and electronics-rich systems. https://app.cochat.ai/papers/10.1016/j.microrel.2010.01.006
- The paper
- Pecht, M., & Jaai, R. (2010). A prognostics and health management roadmap for information and electronics-rich systems. Microelectronics Reliability. https://doi.org/10.1016/j.microrel.2010.01.006
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.
