Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 2,019

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

An Industry-Based Survey of Reliability in Power Electronic Converters

Open access
Shaoyong Yang, Bryant, A, Mawby, P, Dawei Xiang, Li Ran, Tavner, P·2011·IEEE Transactions on Industry Applications

Abstract

A questionnaire survey was carried out to determine the industrial requirements and expectations of reliability in power electronic converters. The survey was subjective and conducted with a number of high-profile semiconductor manufacturers, integrators, and users in the aerospace, automation, motor drive, utility power, and other industry sectors. According to the survey, power semiconductor devices ranked the most fragile components. It was concluded that main stresses were from the environment, transients, and heavy loads, which should be considered during power electronic system design and normal operation. This paper has also highlighted that there is a significant need identified by the responders for better reliability-monitoring methods and indicators.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tia.2011.2124436

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 2,019

Metadata

Authors
Yang, S., Bryant, A., Mawby, P., Xiang, D., Ran, L., & Tavner, P.
Venue
IEEE Transactions on Industry Applications
Published
2011-05
Volume
47
Issue
3
Pages
1441-1451
ISSN
  • 0093-9994 (ISSN-L)
  • 1939-9367
OpenAlex
W2150763729
Cited by
2,019
References
1
FWCI
171.62
Type
journal article
Language
en
Open access
green

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: An Industry-Based Survey of Reliability in Power Electronic Converters. https://app.cochat.ai/papers/10.1109/tia.2011.2124436
The paper
Yang, S., Bryant, A., Mawby, P., Xiang, D., Ran, L., & Tavner, P. (2011). An Industry-Based Survey of Reliability in Power Electronic Converters. IEEE Transactions on Industry Applications. https://doi.org/10.1109/tia.2011.2124436

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.