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vibration signals analysis by explainable artificial intelligence approach  (IEEE Access)

 
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    Structured Review

    IEEE Access vibration signals analysis by explainable artificial intelligence approach
    Excluded articles according to the publication year.
    Vibration Signals Analysis By Explainable Artificial Intelligence Approach, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/vibration+signals+analysis+by+explainable+artificial+intelligence+approach/vibration+signals+analysis+by+explainable+artificial+intelligence+approach/pmc08659640-22-14-24
    Average 90 stars, based on 1 article reviews
    vibration signals analysis by explainable artificial intelligence approach - by Bioz Stars, 2026-09
    90/100 stars

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    1) Product Images from "Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses"

    Article Title: Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses

    Journal: Sensors (Basel, Switzerland)

    doi: 10.3390/s21238020

    Excluded articles according to the publication year.
    Figure Legend Snippet: Excluded articles according to the publication year.

    Techniques Used: Biomarker Discovery, Preserving, Control, Selection, Isolation, Functional Assay, Activity Assay, Derivative Assay, Diagnostic Assay

    Related Articles

    Biomarker Discovery:

    Article Title: Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses
    Article Snippet: 22 , [ ] Li et al., 2020 , Waveletkernelnet: an interpretable deep neural network for industrial intelligent diagnosis. , IEEE, IEEE Transactions on Systems, Man, and Cybernetics: Systems , Diagnostic , Filter-based , Accuracy: 92.61–99.91% Better than other tested methods , Yes , No , No , No , Real—Bearing, drive train (manufacturing, energy, production). .. 23 , [ ] Chen et al., 2020 , Vibration signals analysis by explainable artificial intelligence approach: Application on bearing faults diagnosis , IEEE, IEEE Access , Diagnostic , Attention mechanism , N/A , No , No , No , No , Real— Rolling bearing (manufacturing, energy, production). .. 24 , [ ] Sun et al., 2020 , Vision-based fault diagnostics using explainable deep learning with class activation maps , IEEE, IEEE Access , Diagnostic , Attention mechanism , Accuracy: 95.85% Precision: 100% Very good , No , No , No , No , Real— Base-excited cantilever beam, water pump system (manufacturing, energy, production).

    Diagnostic Assay:

    Article Title: Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses
    Article Snippet: 22 , [ ] Li et al., 2020 , Waveletkernelnet: an interpretable deep neural network for industrial intelligent diagnosis. , IEEE, IEEE Transactions on Systems, Man, and Cybernetics: Systems , Diagnostic , Filter-based , Accuracy: 92.61–99.91% Better than other tested methods , Yes , No , No , No , Real—Bearing, drive train (manufacturing, energy, production). .. 23 , [ ] Chen et al., 2020 , Vibration signals analysis by explainable artificial intelligence approach: Application on bearing faults diagnosis , IEEE, IEEE Access , Diagnostic , Attention mechanism , N/A , No , No , No , No , Real— Rolling bearing (manufacturing, energy, production). .. 24 , [ ] Sun et al., 2020 , Vision-based fault diagnostics using explainable deep learning with class activation maps , IEEE, IEEE Access , Diagnostic , Attention mechanism , Accuracy: 95.85% Precision: 100% Very good , No , No , No , No , Real— Base-excited cantilever beam, water pump system (manufacturing, energy, production).



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    vibration signals analysis by explainable artificial intelligence approach  (IEEE Access)
    90
    IEEE Access vibration signals analysis by explainable artificial intelligence approach
    Excluded articles according to the publication year.
    Vibration Signals Analysis By Explainable Artificial Intelligence Approach, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/vibration+signals+analysis+by+explainable+artificial+intelligence+approach/vibration+signals+analysis+by+explainable+artificial+intelligence+approach/pmc08659640-22-14-24
    Average 90 stars, based on 1 article reviews
    vibration signals analysis by explainable artificial intelligence approach - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Excluded articles according to the publication year.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses

    doi: 10.3390/s21238020

    Figure Lengend Snippet: Excluded articles according to the publication year.

    Article Snippet: 23 , [ ] Chen et al., 2020 , Vibration signals analysis by explainable artificial intelligence approach: Application on bearing faults diagnosis , IEEE, IEEE Access , Diagnostic , Attention mechanism , N/A , No , No , No , No , Real— Rolling bearing (manufacturing, energy, production).

    Techniques: Biomarker Discovery, Preserving, Control, Selection, Isolation, Functional Assay, Activity Assay, Derivative Assay, Diagnostic Assay