Prognosis and Health Management in electric drives applications implemented in existing systems with limited data rate

Loading...
Thumbnail Image
Date
2019-09-10
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Altmetrics
Abstract
Importance of the condition monitoring and predictive maintenance in motion systems is growing up as motion systems quantum and their complexity (number of axes, performance parameters) increases with increasing the automation of huge range of human activities and manufacturing processes. Probability of failures increases with the system complexity. Many faults and indication of their propagation in the electric drives would require additional sensors or hardware, higher bandwidth and sampling frequencies of feedback sensors, high computing power etc. for development of sophisticated methods to detect specific faults with good sensitivity, robustness and reliability under any operating condition. This paper presents an approach to the condition monitoring and prognosis applicable into the existing systems. These methods use the information available in the traditional electric drives – especially the information from the individual sensors in a voltage source inverter (VSI) and/or an electric motor. Condition indicators for these methods are based on application specific operating states or actions, which generates typical patterns in the signals. The condition monitoring is based on observing the deviations of these patterns between the healthy system and the system with fault propagating. The implementation strategy is described in the paper and some demonstration examples are shown as well.
Description
Citation
2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 2019, p. 870-876.
https://ieeexplore.ieee.org/document/8869520
Document type
Peer-reviewed
Document version
Accepted version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
(C) IEEE
Citace PRO