Abstract
The present work develops a methodology for the analysis
of transient signals for fault detection and diagnosis in
electrical motors. The objective of this work is the
initial development of a Prognostic and Health Monitoring
System (PHMS) for the demagnetization of the magnetic
field source of a Permanent Magnet Synchronous Motor
(PMSM) used in electrical vehicles. The developed
methodology is based on the Hilbert-Huang Transform
(HHT), a technique which is particularly suitable for
processing oscillating transient signals, such as the
stator currents typical of automotive electric traction
machines. The HHT represents a time-dependent series in a
two-dimensional time-frequency domain by extracting
instantaneous frequency components within the signal
through an Empirical Mode Decomposition (EMD) process.
The developed framework has been applied to four
transients simulating different levels of demagnetization
of the permanent magnet of the PMSM; the obtained results
show that HHT enables us to detect and assess the
degradation level for a demagnetized core of a PMSM
| Original language | English |
|---|---|
| Title of host publication | Safety and reliability: methodology and applications |
| Subtitle of host publication | Proceedings of the European Safety and Reliability Conference, ESREL 2014 |
| Publisher | Taylor & Francis |
| Pages | 939-944 |
| ISBN (Print) | 978-1-138-02681-0 |
| Publication status | Published - 2014 |
| MoE publication type | A4 Article in a conference publication |
| Event | European Safety and Reliability Conference, ESREL 2014 - Wroclaw, Poland Duration: 14 Sep 2014 → 18 Sep 2014 |
Conference
| Conference | European Safety and Reliability Conference, ESREL 2014 |
|---|---|
| Abbreviated title | ESREL 2014 |
| Country | Poland |
| City | Wroclaw |
| Period | 14/09/14 → 18/09/14 |
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Cite this
Rigamonti, M., & Rantala, S. (2014). Hilbert-Huang Transforms for fault detection and degradation assessment in electrical motors. In Safety and reliability: methodology and applications: Proceedings of the European Safety and Reliability Conference, ESREL 2014 (pp. 939-944). Taylor & Francis.