Blar i AURA på forfatter "Senanayaka, Jagath Sri Lal"
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Mixed Fault Classification of Sensorless PMSM Drive in Dynamic Operations Based on External Stray Flux Sensors
Attestog, Sveinung; Senanayaka, Jagath Sri Lal; Van Khang, Huynh; Robbersmyr, Kjell G. (Peer reviewed; Journal article, 2022)This paper aims to classify local demagnetisation and inter-turn short-circuit (ITSC) on position sensorless permanent magnet synchronous motors (PMSM) in transient states based on external stray flux and learning classifier. ... -
Online Condition Monitoring of Electric Powertrains using Machine Learning and Data Fusion
Senanayaka, Jagath Sri Lal (Doctoral Dissertations at the University of Agder; no. 270, Doctoral thesis, 2020)Safe and reliable operations of industrial machines are highly prioritized in industry. Typical industrial machines are complex systems, including electric motors, gearboxes and loads. A fault in critical industrial machines ... -
Power dispatching of active generators using droop control in grid connected micro-grid
Senanayaka, Jagath Sri Lal (Master thesis, 2014)Renewable energy promises a green energy future for the world. However, many technical problems still have to be solved. Almost all renewable energy sources require power electronic converters for power processing and ... -
Robust Active Learning Multiple Fault Diagnosis of PMSM Drives with Sensorless Control under Dynamic Operations and Imbalanced Datasets
Attestog, Sveinung; Senanayaka, Jagath Sri Lal; Huynh, Van Khang; Robbersmyr, Kjell Gunnar (Peer reviewed; Journal article, 2022)This paper proposes an active learning scheme to detect multiple faults in permanent magnet synchronous motors in dynamic operations without using historical labelled faulty training data. The proposed method combines the ... -
Robust Multiple-Fault Diagnosis of PMSM Drives Under Variant Operations and Noisy Conditions
Eid, Mahmoud Sayed Mahmoud; Huynh, Khang; Senanayaka, Jagath Sri Lal; Robbersmyr, Kjell Gunnar (Peer reviewed; Journal article, 2023)With the rapid development of industrial applications using permanent magnet synchronous motors (PMSMs) and the Internet of Things, the demand for using robust fault diagnosis methods working in noisy conditions has increased ...