Trends and challenges in intelligent condition monitoring of electrical machines using machine learning
A review of the fault diagnostic techniques based on machine is presented in this paper. As
the world is moving towards industry 4.0 standards, the problems of limited computational …
the world is moving towards industry 4.0 standards, the problems of limited computational …
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 …
The influence of various grease compositions and silver nanoparticle additives on electrically induced rolling-element bearing damage
S Bond, RL Jackson, G Mills - Friction, 2024 - Springer
Leakage currents accelerate surface degradation of metal contacts via small scale arcing
across lubricating films, but recent observations suggest that metallic nanoparticle additives …
across lubricating films, but recent observations suggest that metallic nanoparticle additives …
Signal spectrum-based machine learning approach for fault prediction and maintenance of electrical machines
Industrial revolution 4.0 has enabled the advent of new technological advancements,
including the introduction of information technology with physical devices. The …
including the introduction of information technology with physical devices. The …
Fault diagnosis of electric two-wheeler under pragmatic operating conditions using wavelet synchrosqueezing transform and CNN
Electric vehicles (EVs) have grown in universality in recent years due to their specific
advantages such as zero emissions, low noise, and remarkable efficiency. Moreover, these …
advantages such as zero emissions, low noise, and remarkable efficiency. Moreover, these …
Fault detecting accuracy of mechanical damages in rolling bearings
Electrical machines are to face different challenging factors during operation, such as high
unexpected or excessive loads, unusual properties of the working environment, or intense …
unexpected or excessive loads, unusual properties of the working environment, or intense …
[HTML][HTML] Exploring the Boundaries of Electrically Induced Bearing Damage in Grease-Lubricated Rolling Contacts
JR Janik, S Saha, RL Jackson, G Mills - Lubricants, 2024 - mdpi.com
As public attention is increasingly drawn toward more sustainable transportation methods,
the popularity of electric vehicles (EVs) as part of the solution is rapidly expanding …
the popularity of electric vehicles (EVs) as part of the solution is rapidly expanding …
Induction motor bearing currents-causes and damages
Bearing damages make the biggest proportion of faults affecting AC electrical motors. There
are various subdivisions of the bearing faults but one of them is the induced bearing and …
are various subdivisions of the bearing faults but one of them is the induced bearing and …
Cost-efficient real-time condition monitoring and fault diagnostics system for BLDC motor using IoT and Machine learning
A cost-efficient condition monitoring and fault diagnostic system are presented in this paper
using the Internet of Things and machine learning. Most condition monitoring systems …
using the Internet of Things and machine learning. Most condition monitoring systems …
Spectrum analysis for condition monitoring and fault diagnosis of ventilation motor: A case study
In modern power systems, since most loads are inductive by nature, there is an ongoing
power quality issue and researchers' interest in improving the power factor is widespread, as …
power quality issue and researchers' interest in improving the power factor is widespread, as …