A New Fault Diagnosis of Rolling Bearing Based on Markov Transition Field and CNN
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24060751
Abstract: The rolling bearing is a crucial component of the rotating machine, and it is particularly vital to ensure its normal operation. In addition, the selection of different category features will add uncertainty and bias to… read more here.
Keywords: rolling bearing; transition field; fault diagnosis; markov transition ... See more keywords
Markov Transition Field Combined with Convolutional Neural Network Improved the Predictive Performance of Near-Infrared Spectroscopy Models for Determination of Aflatoxin B1 in Maize
Sign Up to like & getrecommendations! Published in 2022 at "Foods"
DOI: 10.3390/foods11152210
Abstract: This work provides a novel approach to monitor the aflatoxin B1 (AFB1) content in maize by near-infrared (NIR) spectra-based deep learning models that integrates Markov transition field (MTF) image coding and a convolutional neural network… read more here.
Keywords: spectroscopy; cnn; near infrared; deep learning ... See more keywords
Markov Transition Field Enhanced Deep Domain Adaptation Network for Milling Tool Condition Monitoring
Sign Up to like & getrecommendations! Published in 2022 at "Micromachines"
DOI: 10.3390/mi13060873
Abstract: Tool condition monitoring (TCM) is of great importance for improving the manufacturing efficiency and surface quality of workpieces. Data-driven machine learning methods are widely used in TCM and have achieved many good results. However, in… read more here.
Keywords: condition monitoring; tool condition; domain; deep domain ... See more keywords