Load Imbalance Detection for an Induction Motor : - A Comparative Study of Machine Learning Algorithms
In 2016 the average industry downtime cost was estimated to $260.000 every hour, and with Swedish industries being an important part of the national economy it would be desirable to reduce the amount of unplanned downtime to a minimum. There are currently many different solutions for system supervis...
Main Authors: | Berg, Stina, Lilja Sjökrans, Elisabet |
---|---|
Format: | Others |
Language: | English |
Published: |
Högskolan i Halmstad, Akademin för informationsteknologi
2019
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39813 |
Similar Items
-
An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach
by: Jianjun Chen, et al.
Published: (2019-07-01) -
Allostatic Load and Effort-Reward Imbalance: Associations over the Working-Career
by: José Ignacio Cuitún Coronado, et al.
Published: (2018-01-01) -
Application of Load Balancing with the Nth Method on Multiple Gateway Internet Networks
by: Rasna Rasna, et al.
Published: (2019-04-01) -
Non-habitual wearing of high-heeled shoes increases loading coefficient, stress and forefoot-rearfoot load imbalance in females as revealed by the modified velocity field diagram
by: Ibeneme Sam, et al.
Published: (2014-01-01) -
A Grid-Connected PV Inverter with Compensation of Load Active and Reactive Power Imbalance for Distribution Networks
by: H. Afkar, et al.
Published: (2016-06-01)