Fault detection by means of Hilbert Huang Transform of the stator current in a PMSM with demagnetization

By A. Espinosa, Javier A. Rosero, J. Cusidó, Luís Romeral, J. Ortega. IEEE International Symposium on Intelligent Signal Processing,, 2010

233 citations recorded by the source corpus.

This paper presents a study of the permanent magnet synchronous motor (PMSM) running under demagnetization. The simulation has been carried out by means of two dimensional (2-D) finite element analysis (FEA), and simulations results were compared with experimental results. The demagnetization fault is analyzed by means of decomposition of stator currents obtained at different speeds. The Hilbert Huang transform (HHT) is used as processing tool. This transformation represents time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process.

Subfields: Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/de3ca20174397cab9970b0da3756cf93271ddaa7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Mahesh Krishnamurthy
2. Yao Da
3. Xiaodong Shi
4. Jordi-Roger Riba
5. Julio César Urresty
6. Luís Romeral

In Electronic, Optical and Magnetic Materials

1. Mahesh Krishnamurthy
2. Yao Da
3. Xiaodong Shi
4. Jordi-Roger Riba

In Mechanical Engineering

1. Mahesh Krishnamurthy
2. Yao Da
3. Xiaodong Shi

Citations in the corpus

• Detection of Demagnetization Faults in Surface-Mounted Permanent Magnet Synchronous Motors by Means of the Zero-Sequence Voltage Component (2012, background): “winding produces an inverse magnetic field that opposes the remanent induction of the permanent magnets [11].”
• A New Approach to Fault Diagnostics for Permanent Magnet Synchronous Machines Using Electromagnetic Signature Analysis (2013, methodology): “One cost-effective way is based on stator current spectrum, usually called motor current signature analysis (MCSA) [1]–[6].”