C
Chiranjib Koley
Researcher at National Institute of Technology, Durgapur
Publications - 79
Citations - 941
Chiranjib Koley is an academic researcher from National Institute of Technology, Durgapur. The author has contributed to research in topics: Partial discharge & Fault (power engineering). The author has an hindex of 16, co-authored 71 publications receiving 722 citations. Previous affiliations of Chiranjib Koley include National Institute of Engineering & Haldia Institute of Technology.
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Journal ArticleDOI
A Machine Vision Technique for Grading of Harvested Mangoes Based on Maturity and Quality
TL;DR: A scheme for automated grading of mango according to maturity level in terms of actual-days-to-rot and quality attributes, such as size, shape, and surface defect has been proposed.
Journal ArticleDOI
A Machine Vision-Based Maturity Prediction System for Sorting of Harvested Mangoes
TL;DR: A machine vision-based system for classification of mangoes by predicting maturity level is proposed to replace manual sorting system and found to provide an average classification accuracy up to 96%.
Journal ArticleDOI
A methodology for identification and localization of partial discharge sources using optical sensors
TL;DR: The obtained results indicate that, the proposed methodology can be used to locate partial discharges in high voltage equipment where the optical signals due to discharges find a path to get radiated towards the outer surface.
Journal ArticleDOI
Performance of a Classifier Based on Time-Domain Features for Incipient Fault Detection in Inverter Drives
TL;DR: This research attempts to identify those incipient yet progressive faults from motor current signature by a time-domain computation technique for feature extraction followed by the use of support vector machine classifier.
Proceedings ArticleDOI
An automated machine vision based system for fruit sorting and grading
TL;DR: A computer vision based system for automatic grading and sorting of agricultural products like Mango (Mangifera indica L.) based on maturity level is presented, aimed to replace manual based technique for grading and sorted of fruit.