Fault Detection by Means of Hilbert–Huang Transform of the Stator Current in a PMSM With Demagnetization
TLDR
In this paper, a Hilbert-Huang transform was used to diagnose demagnetization in a permanent-magnet synchronous motor (PMSM) under nonstationary conditions of velocity.Abstract:
This paper presents a novel method to diagnose demagnetization in permanent-magnet synchronous motor (PMSM). Simulations have been performed by 2-D finite-element analysis in order to determine the current spectrum and the magnetic flux distribution due to this failure. The diagnostic just based on motor current signature analysis can be confused by eccentricity failure because the harmonic content is the same. Moreover, it can only be applied under stationary conditions. In order to overcome these drawbacks, a novel method is used based upon the Hilbert-Huang transform. It represents time-dependent series in a 2-D time-frequency domain by extracting instantaneous frequency components through an empirical-mode decomposition process. This tool is applied by running the motor under nonstationary conditions of velocity. The experimental results show the reliability and feasibility of the methodology in order to diagnose the demagnetization of a PMSM.read more
Citations
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Journal ArticleDOI
A New Approach to Fault Diagnostics for Permanent Magnet Synchronous Machines Using Electromagnetic Signature Analysis
TL;DR: In this article, the fundamental frequency component of the measured voltage is utilized for fault detection, and the performance of the proposed scheme is not affected by nonstationary speed or harmonics introduced by the power supply.
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Advanced Diagnosis of Electrical Faults in Wound-Rotor Induction Machines
TL;DR: Simulation and experimental results show the validity of the proposed method, leading to an effective diagnosis procedure for both stator and rotor electrical faults in WRIMs, and proves the importance of the fault components computed from rotor voltages in comparison to those coming from rotor currents under closed-loop operation.
Journal ArticleDOI
Detection of Demagnetization Faults in Surface-Mounted Permanent Magnet Synchronous Motors by Means of the Zero-Sequence Voltage Component
TL;DR: In this article, an online methodology to detect demagnetization faults in surface-mounted permanent magnet synchronous motors is proposed, which is based on monitoring the zero-sequence voltage component of the stator phase voltages.
Journal ArticleDOI
Demagnetization Modeling and Fault Diagnosing Techniques in Permanent Magnet Machines Under Stationary and Nonstationary Conditions: An Overview
TL;DR: In this paper, the authors reviewed and summarized the demagnetization fault diagnosis methods in PM machines, and compared their weaknesses and strengths, and suggested suggestions for further research are proposed.
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Interturn Short-Circuit Faults in Permanent Magnet Synchronous Machines: An Extended Review and Comprehensive Analysis
TL;DR: The presented findings shed light on the fault signatures and factors that are affecting signature dynamics such as the fault intensity, operating conditions, resistance of the short-circuiting path, and controller action.
References
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Journal ArticleDOI
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Norden E. Huang,Zheng Shen,Steven R. Long,Man-Li C. Wu,Hsing H. Shih,Quanan Zheng,Nai-Chyuan Yen,C. C. Tung,Henry H. Liu +8 more
TL;DR: In this paper, a new method for analysing nonlinear and nonstationary data has been developed, which is the key part of the method is the empirical mode decomposition method with which any complicated data set can be decoded.
Journal ArticleDOI
Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review
TL;DR: A review paper describing different types of faults and the signatures they generate and their diagnostics' schemes will not be entirely out of place to avoid repetition of past work and gives a bird's eye view to a new researcher in this area.
Journal ArticleDOI
A confidence limit for the empirical mode decomposition and Hilbert spectral analysis
Norden E. Huang,Man-Li C. Wu,Steven R. Long,Samuel S. P. Shen,Wendong Qu,Per Gloersen,Kuang L. Fan +6 more
TL;DR: The confidence limit of the method here termed EMD/HSA (for empirical mode decomposition/Hilbert spectral analysis) is introduced by using various adjustable stopping criteria in the sifting processes of the EMD step to generate a sample set of intrinsic mode functions (IMFs) as mentioned in this paper.
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Moving towards a more electric aircraft
TL;DR: In this article, the concept of a more electric aircraft (MEA) is described, which involves removing the need for on-engine hydraulic power generation and bleed air off-takes, and increasing use of power electronics in the starter/generation system of the main engine.
Book
Permanent magnet motor technology : design and applications
Jacek F. Gieras,Mitchell Wing +1 more
TL;DR: In this article, the authors present an overview of the history of permanent magnet motors and their applications in automotive and industrial applications, including the development and performance of brushless motors and motors with disk rotors.