Search Results - Nistane, V. M.

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  1. 1
    Prognosis of degradation progress of ball bearings using supervised machine learning

    Prognosis of degradation progress of ball bearings using supervised machine learning by Nistane, VM, Harsha, SP

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  2. 2
    Evaluation of fracture behavior of functionally graded material using SEN specimen

    Evaluation of fracture behavior of functionally graded material using SEN specimen by Ganguwar, S., Nistane, V. M.

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  3. 3
    FEA based prediction of crack growth behavior of 304LN stainless steel cracked and healthy piping elbows

    FEA based prediction of crack growth behavior of 304LN stainless steel cracked and healthy piping elbows by Mathur, Deepali, Saxena, Sanjeev, Nistane, V. M.

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  4. 4
    Predicting critical SZW and JSZWc for 304LN stainless steel using numerical technique and validation with experimental results

    Predicting critical SZW and JSZWc for 304LN stainless steel using numerical technique and validation with experimental results by Mathur, Deepali, Saxena, Sanjeev, Nistane, V. M.

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  5. 5
    Assessment of bearing degradation by using intrinsic mode functions and k-medoids clustering

    Assessment of bearing degradation by using intrinsic mode functions and k-medoids clustering by Nistane, VM, Harsha, SP

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  6. 6
    Numerical Study on the Determination of Crack Initiation Angle, Stress Field and Stress Triaxiality at Crack Tip in a Cracked Beam of Functionally Graded Material

    Numerical Study on the Determination of Crack Initiation Angle, Stress Field and Stress Triaxiality at Crack Tip in a Cracked Beam of Functionally Graded Material by Ganguwar, S., Nistane, V. M.

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  7. 7
    Combination of envelope spectra and generative topographic mapping to diagnose bearing fault and evaluate degradation of bearing

    Combination of envelope spectra and generative topographic mapping to diagnose bearing fault and evaluate degradation of bearing by Nistane, VM, Harsha, SP

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  8. 8
    Wavelet-based features for prognosis of degradation in rolling element bearing with non-linear autoregressive neural network

    Wavelet-based features for prognosis of degradation in rolling element bearing with non-linear autoregressive neural network by Nistane, V. M.

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  9. 9
    Failure Evaluation of Ball Bearing for Prognostics

    Failure Evaluation of Ball Bearing for Prognostics by Nistane, V.M., Harsha, S.P.

    Published in Procedia technology
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