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 sensors, communication systems, and the Internet of Things to have more reliable automation systems. However, electrical r...
Main Authors: | Arturo Yosimar Jaen-Cuellar, David Alejandro Elvira-Ortiz, Juan Jose Saucedo-Dorantes |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
|
Series: | Machines |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1702/11/7/720 |
Similar Items
-
Detection of Inter-Turn Short Circuits in Induction Motors under the Start-Up Transient by Means of an Empirical Wavelet Transform and Self-Organizing Map
by: Juan Jose Saucedo-Dorantes, et al.
Published: (2023-10-01) -
Diagnosis of ITSC fault in the electrical vehicle powertrain system through signal processing analysis
by: Dehbia Ouamara, et al.
Published: (2023-02-01) -
Thermal Analysis of Low-Power Three-Phase Induction Motors Operating under Voltage Unbalance and Inter-Turn Short Circuit Faults
by: Amel Adouni, et al.
Published: (2020-12-01) -
Stator inter-turn short-circuit fault diagnosis in induction motors applying VI loci-based technique
by: Ujwala Dongare, et al.
Published: (2023-10-01) -
Real-Time Detection of Incipient Inter-Turn Short Circuit and Sensor Faults in Permanent Magnet Synchronous Motor Drives Based on Generalized Likelihood Ratio Test and Structural Analysis
by: Saeed Hasan Ebrahimi, et al.
Published: (2022-04-01)