Abstract
| 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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Hilbert-Huang Transforms for fault detection and degradation assessment in electrical motors. / Rigamonti, M; Rantala, Seppo.
Safety and reliability: methodology and applications: Proceedings of the European Safety and Reliability Conference, ESREL 2014. Taylor & Francis, 2014. p. 939-944.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Hilbert-Huang Transforms for fault detection and degradation assessment in electrical motors
AU - Rigamonti, M
AU - Rantala, Seppo
PY - 2014
Y1 - 2014
N2 - 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
AB - 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
M3 - Conference article in proceedings
SN - 978-1-138-02681-0
SP - 939
EP - 944
BT - Safety and reliability: methodology and applications
PB - Taylor & Francis
ER -