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Rakesh Kumar Jha
Rakesh Kumar Jha
Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal
在 rgpv.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines
RK Jha, PD Swami
Applied Acoustics 182 (November), 2021
502021
Intelligent fault diagnosis of rolling bearing and gear system under fluctuating load conditions using image processing technique
RK Jha, PD Swami
Journal of Mechanical Science and Technology 34 (10), 4107-4115, 2020
222020
Failure prognosis of rolling bearings using maximum variance wavelet subband selection and support vector regression
RK Jha, PD Swami
Journal of the Brazilian Society of Mechanical Sciences and Engineering 44 (49), 2022
142022
Enhanced fault feature extraction and bearing fault diagnosis using shearlet transform and deep learning
PD Swami, RK Jha, A Jat
Signal, Image and Video Processing 18 (12), 9285-9293, 2024
22024
Comparison and Selection of Wavelets for Vibration Signals Denoising and Fault Detection of Rotating Machines Using Neighborhood Correlation of SWT Coefficients
RK Jha, PD Swami, D Singh
2018 International Conference on Advanced Computation and Telecommunication …, 2018
22018
Industry 4.0-Based Fault Diagnosis of a Roller Bearing System Using Wave Atom Transform and Artificial Neural Network
RK Jha, PD Swami
Manufacturing and Industrial Engineering, 103-119, 2021
2021
Rolling bearings fault diagnosis and classification based on optimal wavelet subband selection and deep neural network
RK Jha, PD Swami
2021
Failure prognosis of rolling bearing using Gaussian process regression model and PCA analysis
RK Jha, PD Swami
International conference on Advances in Mechanical Engineering (ICAME-2020 …, 2020
2020
An FPGA Implementation of Energy Efficient Code Converters Using Reversible Logic Gates
RK Jha, A yadav
International Journal of Advanced Research in Electrical, Electronics and …, 2016
2016
Fault Diagnosis and Failure Prognosis of Vibration Signals of Rotating Machines using Multiresolution Transforms
RK Jha
Bhopal, 0
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