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Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

Wang, Yanxue, Xiang, Jiawei, Markert, Richard, Liang, Ming·2016·Mechanical Systems and Signal Processing
DOI 10.1016/j.ymssp.2015.04.039
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Metadata

Authors
Wang, Y., Xiang, J., Markert, R., & Liang, M.
Venue
Mechanical Systems and Signal Processing
Publisher
Elsevier BV
Published
2016-01
Volume
66-67
Pages
679-698
ISSN
0888-3270 (ISSN-L)
DOI
10.1016/j.ymssp.2015.04.039
OpenAlex
W1196777648
Cited by
504
References
0
FWCI
39.90
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Funders
  • National Natural Science Foundation of China (51105085, 51175097, 51475098, 61463010)
  • Guangxi Natural Science Foundation (2013GXNSFBA019238)
  • Guangxi Experiment Center of Information Science (20130312)

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 ›

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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: Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications. https://app.cochat.ai/papers/10.1016/j.ymssp.2015.04.039
The paper
Wang, Y., Xiang, J., Markert, R., & Liang, M. (2016). Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2015.04.039

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.