A comprehensive approach with DTW-driven IMF selection, multi-domain fusion, and TSA-based feature selection for compound fault diagnosis

Athisayam, Andrews; Kondal, Manisekar

doi:10.1016/j.measurement.2024.115974

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A comprehensive approach with DTW-driven IMF selection, multi-domain fusion, and TSA-based feature selection for compound fault diagnosis

Author(s): Andrews Athisayam , Manisekar Kondal

Publication date Created: January 2025

Publication date (Print): January 2025

Journal: Measurement

Publisher: Elsevier BV

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Most cited references 77

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The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

N. Huang, Z. Shen, S Long … (1998)

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ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD

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Time-frequency distributions-a review

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Andrews Athisayam: (View ORCID Profile)

Journal

Title: Measurement

Abbreviated Title: Measurement

Publisher: Elsevier BV

ISSN (Print): 02632241

Publication date Created: January 2025

Publication date (Print): January 2025

Volume: 242

Page: 115974

Article

DOI: 10.1016/j.measurement.2024.115974

SO-VID: 2ffa9689-0c46-40ed-a084-07508dfcd1ab

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https://doi.org/10.15223/policy-017

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https://doi.org/10.15223/policy-012

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