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Author

Rohit Mishra

2 papers indexed here

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Sep 2026

Cross-load robustness evaluation of deep and handcrafted learning frameworks for bearing fault diagnosis

This paper introduces a comprehensive leakage-free methodology for bearing fault diagnosis by three of the most representative feature learning approaches: Raw Signal Convolutional Neural Network (Raw CNN), Fast Fourier Transform (FFT) based hybrid MLP-CNN, and handcrafted statistical descriptor based Multilayer Percep...

Rohit Mishra, Bhagat Singh, Y. Shrivastava · 0 citations
Open access Aug 2026

A robust multi-class bearing fault diagnosis framework using envelope analysis, cepstrum prewhitening and machine learning

The proposed framework provides an effective balance between diagnostic accuracy, robustness, interpretability, and computational efficiency, making it a promising solution for intelligent condition monitoring and predictive maintenance of rotating machinery.

Rohit Mishra · 0 citations

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