Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
As an information carrier, current signal directly reflects the electromechanical coupling between the stator and rotor of an induction motor. In this study, a detection method of winding fault based on current information is proposed to identify fault and realize feature decoupling for an induction motor. Unlike most current analysis methods, this method combines the electromagnetic field distribution with the feature frequency of the current signal to achieve the detection of the stator winding fault. With mathematical models, the phase, amplitude, and frequency of the three-phase current are mapped into a spatial coordinate system, which can help to identify the faults of the induction motor by a balance structure. To further identify the fault features, the projections of the coupled magnetic fields are combined with the feature frequencies, which can be used to extract accurately the electromechanical information on the stator and rotor. And the proposed methods are verified by a test bench of motor fault. The results show that the proposed methods can effectively detect a stator winding fault of the frequency conversion motor using the distributions of the magnetic motive forces and the feature frequencies of the current signals. The method proposed in this study provides a new tool for the fault detection and condition monitoring of induction motors.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12391511 | PMC |
| http://dx.doi.org/10.1038/s41598-025-17368-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Condition monitoring and fault diagnosis of power transformer based on non-invasive measurement.
Sci Rep
September 2025
Electrical Power and Machines Department, Higher Institute of Engineering, El Shorouk Academy, Cairo, Egypt.
In modern power systems, it is crucial to monitor and detect internal faults in power transformers promptly and accurately to ensure reliability and prevent disruptions. Failure to identify these faults promptly can reduce the transformer's lifespan, cause system disconnection, and compromise network stability. This paper introduces an innovative method for the discrimination, classification, and localization of internal short-circuit faults in power transformers, with a focus on three types of winding faults: turn-to-turn fault, series short circuits, and shunt short circuits.
View Article and Find Full Text PDFWinding fault detection based on current information of induction motors.
Sci Rep
August 2025
School of Instrument Science and Technology, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, P.R. China.
As an information carrier, current signal directly reflects the electromechanical coupling between the stator and rotor of an induction motor. In this study, a detection method of winding fault based on current information is proposed to identify fault and realize feature decoupling for an induction motor. Unlike most current analysis methods, this method combines the electromagnetic field distribution with the feature frequency of the current signal to achieve the detection of the stator winding fault.
View Article and Find Full Text PDFVibration, current, torque, RPM dataset for multiple fault conditions in industrial-scale electric motors under randomized speed and load variations.
Data Brief
October 2025
Center for Noise and Vibration Control Plus, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon 34141, South Korea.
This article presents a comprehensive dataset acquired from two fault diagnosis environments: (1) industrial AC motors operating under various real-world conditions, and (2) belt-loosening scenarios in HVAC air handling units. The dataset was collected to support the development and validation of data-driven fault detection methods across diverse mechanical and electrical systems. For the AC motor dataset, faults were deliberately introduced to simulate common degradation modes, including coil winding faults, inter-phase short circuits, misalignment, and bearing-related issues such as rolling-element and journal bearing faults.
View Article and Find Full Text PDFDesign and Construction Progress of a Cryogen-Free, Shielded 23.5-T REBCO Magnet for Benchtop 1-GHz NMR Spectroscopy.
IEEE Trans Appl Supercond
August 2025
Francis Bitter Magnet Laboratory (FBML)/Plasma Science and Fusion Center (PSFC), Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
We present the detailed design and construction progress of a cryogen-free, shielded 23.5-T, 30-mm warm-bore REBCO magnet for use in benchtop 1-GHz microcoil nuclear magnetic resonance (NMR) spectroscopy. The magnet design, initially based on constant current density, exhibits a high homogeneity of <0.
View Article and Find Full Text PDFFault analysis and performance improvement of grid-connected doubly fed induction generator through an enhanced crowbar protection scheme.
PLoS One
July 2025
Center for Scientific Research and Entrepreneurship, Northern Border University, Arar, Saudi Arabia.
The main problem associated with a doubly fed induction generator (DFIG) during fault is large inrush currents induced in rotor winding, which has detrimental effects on the machine's AC excitation converter. A simple conventional resistance inclusion (crowbar) is employed with a PI controller to protect a DFIG from transient current, but it is observed that this method is not enough to keep transient over-current to an admissible level. In this paper, an effective current limiting technique along with reactive power control is proposed in order to maintain stability, reduce transient current surge to an acceptable level, and enhance the Fault Ride Through capacity of DFIG.
View Article and Find Full Text PDF