Improved Tensor-Based Singular Spectrum Analysis Based on Single Channel Blind Source Separation Alg...
Improved Tensor-Based Singular Spectrum Analysis Based on Single Channel Blind Source Separation Algorithm and Its Application to Fault Diagnosis
About this item
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Author / Creator
Yang, Dan , Yi, Cancan , Xu, Zengbin , Zhang, Yi , Ge, Mao and Liu, Changming
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
To solve the problem of multi-fault blind source separation (BSS) in the case that the observed signals are under-determined, a novel approach for single channel blind source separation (SCBSS) based on the improved tensor-based singular spectrum analysis (TSSA) is proposed. As the most natural representation of high-dimensional data, tensor can pr...
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Full title
Improved Tensor-Based Singular Spectrum Analysis Based on Single Channel Blind Source Separation Algorithm and Its Application to Fault Diagnosis
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_40b7339db7174fcf9b2087239f1f1c89
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_40b7339db7174fcf9b2087239f1f1c89
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app7040418
