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A review on fault detection and diagnosis techniques: basics and beyond
Safety and reliability are absolutely important for modern sophisticated systems and
technologies. Therefore, malfunction monitoring capabilities are instilled in the system for …
technologies. Therefore, malfunction monitoring capabilities are instilled in the system for …
Artificial intelligence-based technique for fault detection and diagnosis of EV motors: A review
The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …
Variable speed induction motors' fault detection based on transient motor current signatures analysis: A review
Induction motor is a major component in the industrial sector. It is experiencing great
development concerning size, market share, and technological design. Any sudden failure …
development concerning size, market share, and technological design. Any sudden failure …
Condition monitoring and fault diagnosis of induction motor
Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …
very vital component. Almost in every industry, around 90% of the machines apply an …
[HTML][HTML] A review on rolling bearing fault signal detection methods based on different sensors
G Wu, T Yan, G Yang, H Chai, C Cao - Sensors, 2022 - mdpi.com
As a precision mechanical component to reduce friction between components, the rolling
bearing is widely used in many fields because of its slight friction loss, strong bearing …
bearing is widely used in many fields because of its slight friction loss, strong bearing …
An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems
The machine fault diagnosis is being considered in a larger-scale complex system with
numerous measurements from diverse subsystems or components, where the collected data …
numerous measurements from diverse subsystems or components, where the collected data …
Feature knowledge based fault detection of induction motors through the analysis of stator current data
The fault detection of electrical or mechanical anomalies in induction motors has been a
challenging problem for researchers over decades to ensure the safety and economic …
challenging problem for researchers over decades to ensure the safety and economic …
Bearing fault diagnosis using time segmented Fourier synchrosqueezed transform images and convolution neural network
In this paper, a time segmented Fourier synchro-squeezed transform-based convolution
neural network is proposed for the bearing fault diagnosis. The proposed method acquired …
neural network is proposed for the bearing fault diagnosis. The proposed method acquired …
An efficient Hilbert–Huang transform-based bearing faults detection in induction machines
This paper focuses on rolling elements bearing fault detection in induction machines based
on stator currents analysis. Specifically, it proposes to process the stator currents using the …
on stator currents analysis. Specifically, it proposes to process the stator currents using the …
A data-mining approach for wind turbine fault detection based on SCADA data analysis using artificial neural networks
Wind energy has shown significant growth in terms of installed power in the last decade.
However, one of the most critical problems for a wind farm is represented by Operation and …
However, one of the most critical problems for a wind farm is represented by Operation and …