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Alok Kanti Deb
Researcher at Indian Institute of Technology Kharagpur
Publications - 78
Citations - 582
Alok Kanti Deb is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Kalman filter & Hyperspectral imaging. The author has an hindex of 10, co-authored 75 publications receiving 439 citations. Previous affiliations of Alok Kanti Deb include Indian Institutes of Technology & General Motors.
Papers
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Journal ArticleDOI
A Method for Detecting Half-Broken Rotor Bar in Lightly Loaded Induction Motors Using Current
TL;DR: The proposed method is based on spectral preprocessing of the stator current followed by subspace decomposition of the signal autocorrelation matrix to detect relatively low-amplitude fault sidebands and is found to be very effective in detecting low-AMplitude sinusoids in a signal dominated by high-amPLitude fundamental.
Proceedings ArticleDOI
Human emotion recognition from facial thermal image based on fused statistical feature and multi-class SVM
TL;DR: A novel non-invasive technique to classify human emotion through thermal images of face using Hu's moment invariants of different patches fused with histogram statistical feature and used as robust features in multiclass support vector machine based classification.
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Low Complexity Motor Current Signature Analysis Using Sub-Nyquist Strategy With Reduced Data Length
TL;DR: A low-complexity fault detection algorithm based on the sub-Nyquist sampling of the analytic current signal has been proposed and compared to other similar algorithms.
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MVEM-Based Fault Diagnosis of Automotive Engines Using Dempster–Shafer Theory and Multiple Hypotheses Testing
TL;DR: The diagnosis logic, based on the principles of structured residuals proposed in literature, is extended here for multiple hypotheses testing and the Dempster-Shafer theory is used to associate a confidence measure with the decision conclusions and this is shown to improve isolation.
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SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control
TL;DR: The approach of adaptive critic design (ACD) for control, specifically, the action-dependent heuristic dynamic programming (ADHDP) method is used, which has the capability to learn any binary classification data without a priori choice of the number of neurons or the structure of the network.