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Fabric defect detection adopting combined GLCM, Gabor wavelet features and random decision forest
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
easy to control, high efficiency, and low cost. However, IMs are subjected to several faults …
BANK NOTE AUTHENTICATION AND CLASSIFICATION USING ADVANCED MACHINE ALGORITHMS
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 …
global market should be always genuine. However, some of the miscreants in the society …