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OpenAlex topic

Machine Fault Diagnosis Techniques

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 1,593 works 109 author topics

Works

1,593 works

  1. Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks 2016
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 100.0%

    Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such fixed and hand-crafted features may be a suboptimal choice and require a significant computational c…

  2. Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks 2016
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 100.0%

    Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such fixed and hand-crafted features may be a suboptimal choice and require a significant computational c…

  3. A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier 2019
    YÖKSİS SJR Q3 JCR Q4 OpenAlex top 1% OpenAlex 99.9%

    No abstract yet.

  4. Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends 2024
    YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 100.0%

    Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of the components in a real system has been destroyed, and some anomalies appear so that maintenance can be performed before a breakdown takes place. Using cutting-edge technologies like data analytics and artificial intelligence…

  5. Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends. Applied Sciences 2024
    YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 100.0%

    Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of the components in a real system has been destroyed, and some anomalies appear so that maintenance can be performed before a breakdown takes place. Using cutting-edge technologies like data analytics and artificial intelligence…

  6. Vibration analysis of rotating machinery using time–frequency analysis and wavelet techniques 2011
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  7. Short-time fourier transform: two fundamental properties and an optimal implementation 2003
    OpenAlex top 10% OpenAlex 97.4%

    Shift and rotation invariance properties of linear time-frequency representations are investigated. It is shown that among all linear time-frequency representations, only the short-time Fourier transform (STFT) family with the Hermite-Gaussian kernels satisfies both the shift invariance and rotation invariance propert…

  8. Short time fourier transform two fundamental properties and an optimal implementation 2003
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.4%

    Shift and rotation invariance properties of linear time-frequency representations are investigated. It is shown that among all linear time-frequency representations, only the short-time Fourier transform (STFT) family with the Hermite-Gaussian kernels satisfies both the shift invariance and rotation invariance propert…

  9. Bearing Damage Detection via Wavelet Packet Decomposition of the Stator Current 2004
    YÖKSİS SJR Q2 JCR Q3 OpenAlex top 1% OpenAlex 99.7%

    Bearing faults are one of the major causes of motor failures. The bearing defects induce vibration, resulting in the modulation of the stator current. In this paper, the stator current is analyzed via wavelet packet decomposition to detect bearing defects. The proposed method enables the analysis of frequency bands th…

  10. An improved residual-based convolutional neural network for very short-term wind power forecasting 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.3%

    No abstract yet.

  11. An improved residual-based convolutional neural network for very short-term wind power forecasting 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.3%

    No abstract yet.

  12. An improved residual-based convolutional neural network for very short-term wind power forecasting 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.3%

    No abstract yet.

Academicians

109 academicians