Fabric defect detection adopting combined GLCM, Gabor wavelet features and random decision forest

NT Deotale, TK Sarode - 3D Research, 2019 - Springer
In image analysis and pattern recognition activity, one of the most salient characteristics is
texture. The global region of images in spatial domain has an enhanced processing effect …

Fault diagnosis under variable working conditions based on STFT and transfer deep residual network

Y Du, A Wang, S Wang, B He, G Meng - Shock and Vibration, 2020 - Wiley Online Library
Fault diagnosis plays a very important role in ensuring the safe and reliable operations of
machines. Currently, the deep learning‐based fault diagnosis is attracting increasing …

Fault diagnosis of diesel engine valve clearance based on variational mode decomposition and random forest

N Zhao, Z Mao, D Wei, H Zhao, J Zhang, Z Jiang - Applied Sciences, 2020 - mdpi.com
Diesel engines, as power equipment, are widely used in the fields of the automobile
industry, ship industry, and power equipment. Due to wear or faulty adjustment, the valve …

Directional presplit blasting in an innovative no-pillar mining approach

J Hu, X Zhang, Y Gao, Z Ma, X Xu… - Journal of Geophysics …, 2019 - academic.oup.com
Directional presplit blasting (DPB) technology for an innovative no-pillar mining approach is
introduced. First, a mechanical model is established to analyze crack initiation and …

The development of new artificial intelligence based hybrid techniques combining bees algorithm, data mining and genetic algorithm for detection, classification and …

A Al-Musawi - 2019 - orca.cardiff.ac.uk
This thesis focuses on applying Artificial Intelligence (AI) methods for detecting, classifying
and predicting the faults in induction motors in order to prevent any failures happening …

Comprehensive Survey on Fault Detection and Classification in Three-Phase Induction Motors

D Sonje, R Munje - ECTI Transactions on Electrical Engineering …, 2024 - ph02.tci-thaijo.org
Electric motors have revolutionized the way of human living and resulted in the modern
lifestyle. These motors often operate in corrosive and dusty places and are exposed to a …

Different Induction Motor Faults by New Proposed Random Forest Method

Ç Bakır - Balkan Journal of Electrical and Computer Engineering, 2023 - dergipark.org.tr
Induction motors (IM) are widely used in industry. Failures in asynchronous motors cause
disruptions and interruptions in production processes. Due to this situation, economic losses …

Fault classification in three-phase squirrel cage induction motor using artificial intelligence techniques

A Ibrahim - 2023 - orca.cardiff.ac.uk
Three-phase induction motor (IM) has various advantages in industries such as robustness,
easy to control, high efficiency, and low cost. However, IMs are subjected to several faults …

BANK NOTE AUTHENTICATION AND CLASSIFICATION USING ADVANCED MACHINE ALGORITHMS

AD Sonje, DM Sonje - Journal of Science & Technology (JST), 2021 - jst.org.in
The currency coins or banknotes used by any country to perform economic activities in the
global market should be always genuine. However, some of the miscreants in the society …