Advanced signal processing methods for condition monitoring
Condition monitoring of induction motors (IM) among with the predictive maintenance
concept are currently among the most promising research topics of manufacturing industry …
concept are currently among the most promising research topics of manufacturing industry …
Methods of condition monitoring and fault detection for electrical machines
Nowadays, electrical machines and drive systems are playing an essential role in different
applications. Eventually, various failures occur in long-term continuous operation. Due to the …
applications. Eventually, various failures occur in long-term continuous operation. Due to the …
Bearing fault diagnosis of induction motors using a genetic algorithm and machine learning classifiers
RN Toma, AE Prosvirin, JM Kim - Sensors, 2020 - mdpi.com
Efficient fault diagnosis of electrical and mechanical anomalies in induction motors (IMs) is
challenging but necessary to ensure safety and economical operation in industries …
challenging but necessary to ensure safety and economical operation in industries …
[PDF][PDF] Научно-практические основы создания автоматизированных систем технического мониторинга и диагностики оборудования …
АЕ Яблоков, ИГ Благовещенский - Яблоков АЕ, Благовещенский ИГ–М …, 2022 - mgupp.ru
Зерноперерабатывающая отрасль России является системообразующей в задаче
обеспечения населения страны продуктами питания. Элеваторное хозяйство …
обеспечения населения страны продуктами питания. Элеваторное хозяйство …
Studying the level of sustainable energy development of the European Union countries and their similarity based on the economic and demographic potential
The concept of sustainable economic development takes into account economic, social and
environmental aspects and strives to achieve balance between them. One of the basic areas …
environmental aspects and strives to achieve balance between them. One of the basic areas …
Convolutional neural network-based stator current data-driven incipient stator fault diagnosis of inverter-fed induction motor
In this paper, the idea of using a convolutional neural network (CNN) for the detection and
classification of induction motor stator winding faults is presented. The diagnosis inference …
classification of induction motor stator winding faults is presented. The diagnosis inference …
PMSM stator winding fault detection and classification based on bispectrum analysis and convolutional neural network
P Pietrzak, M Wolkiewicz… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The diagnosis of permanent magnet synchronous motor (PMSM) faults has been the subject
of much research in recent years, due to the growing reliability and safety requirements for …
of much research in recent years, due to the growing reliability and safety requirements for …
New hybrid invasive weed optimization and machine learning approach for fault detection
Fault diagnosis of induction motor anomalies is vital for achieving industry safety. This paper
proposes a new hybrid Machine Learning methodology for induction-motor fault detection …
proposes a new hybrid Machine Learning methodology for induction-motor fault detection …
Machine learning-based stator current data-driven PMSM stator winding fault diagnosis
P Pietrzak, M Wolkiewicz - Sensors, 2022 - mdpi.com
Permanent magnet synchronous motors (PMSMs) have become one of the most important
components of modern drive systems. Therefore, fault diagnosis and condition monitoring of …
components of modern drive systems. Therefore, fault diagnosis and condition monitoring of …
Statistical machine learning strategy and data fusion for detecting incipient ITSC faults in IM
The new technological developments have allowed the evolution of the industrial process to
this new concept called Industry 4.0, which integrates power machines, robotics, smart …
this new concept called Industry 4.0, which integrates power machines, robotics, smart …