Search Results - "Senanayaka, Jagath"

Toward Self-Supervised Feature Learning for Online Diagnosis of Multiple Faults in Electric Powertrains by Senanayaka, Jagath Sri Lal, Van Khang, Huynh, Robbersmyr, Kjell G.

“…This article proposes a novel online fault diagnosis scheme for industrial powertrains without using historical faulty or labeled training data. The proposed…”
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Multiple Classifiers and Data Fusion for Robust Diagnosis of Gearbox Mixed Faults by Senanayaka, Jagath Sri Lal, Van Khang, Huynh, Robbersmyr, Kjell G.

“…Detection and isolation of single and mixed faults in a gearbox are very important to enhance the system reliability, lifetime, and service availability. This…”
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Mixed Fault Classification of Sensorless PMSM Drive in Dynamic Operations Based on External Stray Flux Sensors by Attestog, Sveinung, Senanayaka, Jagath Sri Lal, Van Khang, Huynh, Robbersmyr, Kjell G

“…This paper aims to classify local demagnetisation and inter-turn short-circuit (ITSC) on position sensorless permanent magnet synchronous motors (PMSM) in…”
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Robust Active Learning Multiple Fault Diagnosis of PMSM Drives with Sensorless Control under Dynamic Operations and Imbalanced Datasets by Attestog, Sveinung, Senanayaka, Jagath Sri Lal, Khang, Huynh Van, Robbersmyr, Kjell G.

“…This paper proposes an active learning scheme to detect multiple faults in permanent magnet synchronous motors in dynamic operations without using historical…”
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CNN based Gearbox Fault Diagnosis and Interpretation of Learning Features by Lal Senanayaka, Jagath Sri, Van Khang, Huynh, Robbersmvr, Kjell G.

“…Machine learning based fault diagnosis schemes have been intensively proposed to deal with faults diagnosis of rotating machineries such as gearboxes,…”
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Multiple Fault Diagnosis of Electric Powertrains Under Variable Speeds Using Convolutional Neural Networks by Sri Lal Senanayaka, Jagath, Huynh Van Khang, Robbersmyr, Kjell G.

“…Electric powertrains are widely used in automotive and renewable energy industries. Reliable diagnosis for defects in the critical components such as bearings,…”
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Online Fault Diagnosis System for Electric Powertrains Using Advanced Signal Processing and Machine Learning by Sri Lal Senanayaka, Jagath, Huynh Van Khang, Robbersmyr, Kjell G.

“…Online condition monitoring and fault diagnosis systems are necessary to prevent unexpected downtimes in critical electric powertrains. The machine learning…”
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Fault-Tolerant Control of a Grid-connected Bipolar DC Microgrid with High Penetration of Intermittent Renewable Energy by Senanayaka, Jagath, Khang, H. V., Rassolkin, Anton, Vaimann, Toomas, Zakis, Janis, Pomarnacki, Raimondas

“…Bipolar DC grids are gaining great attention in modern power systems due to their superiority over Unipolar DC grids and AC grids. Existing studies on DC…”
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Fault Diagnosis of Low-severity Demagnetization in Permanent Magnet Synchronous Motors Using Numerical Data by Mahmoud, Mahmoud S., Khang, H. V., Senanayaka, Jagath, Panadero, Ruben Puche

“…This paper presents a fault diagnosis method of low-severity demagnetization in permanent magnet synchronous motors (PMSMs) using numerical data. Simulations…”
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Fault Tolerant Control of a Grid-Connected Microgrid with High Penetration of Renewable Energy by Senanayaka, Jagath, Khang, H. V., Vaimann, Toomas, Rassolkin, Anton, Zakis, Janis, Pomarnacki, Raimondas

“…Utilization of more renewable energy in electric grid help to reduce the dependency on fossil fuel and environmental impact. However, the intermittency nature…”
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Autoencoders and Recurrent Neural Networks Based Algorithm for Prognosis of Bearing Life by Lal Senanayaka, Jagath Sri, Van Khang, Huynh, Robbersmyr, Kjell G.

“…Bearings are one of the most critical components in electric motors, gearboxes and wind turbines. Therefore, bearing fault detection and prognosis of remaining…”
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A two-stage Fault Diagnosis Scheme of Partial Demagnetization Faults in PMSMs with Low Labelled Rates by Mahmoud, Mahmoud S., Khang, H. V., Senanayaka, Jagath, Robbersmyr, Kjell G., Panadero, Ruben

“…This study proposes a two-stage diagnosis scheme for partial demagnetization faults in permanent magnet synchronous motors (PMSMs) based on a small portion of…”
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Autoencoders and Data Fusion Based Hybrid Health Indicator for Detecting Bearing and Stator Winding Faults in Electric Motors by Lal Senanayaka, Jagath Sri, Van Khang, Huynh, Robbersmyr, Kjell G.

“…The main objective of a condition monitoring programs is to track the health status of critical components of a machine. In this paper, a hybrid health…”
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Towards online bearing fault detection using envelope analysis of vibration signal and decision tree classification algorithm by Senanayaka, Jagath Sri Lal, Van Khang, Huynh, Robbersmyr, Kjell G.

“…Online bearing fault detection is an important method for monitoring the health status of bearings in critical machines. This work proposes a classification…”
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Early detection and classification of bearing faults using support vector machine algorithm by Senanayaka, Jagath Sri Lal, Kandukuri, Surya Teja, Huynh Van Khang, Robbersmyr, Kjell G.

“…Bearings are one of the most critical elements in rotating machinery systems. Bearing faults are the main reason for failures in electrical motors and…”
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A novel soft-stall power control for a small wind turbine by Senanayaka, Jagath Sri Lal, Karimi, Hamid Reza, Robbersmyr, Kjell G.

“…In this paper, the problem of Soft-stall power control design for a small wind turbine is considered. Passive stalling and furling methods are widely used to…”
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A two-stage fault detection and classification for electric pitch drives in offshore wind farms using support vector machine by Kandukuri, Surya Teja, Senanayaka, Jagath Sri Lal, Huynh, Van Khang, Robbersmyr, Kjell G.

“…This article presents a two-stage fault detection and classification scheme, for induction motor drives in wind turbine pitch systems. The presented approach…”
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Sliding-mode observer based sensor-less control of a small wind energy conversion system by Senanayaka, Jagath Sri Lal, Karimi, Hamid Reza, Robbersmyr, Kjell Gunnar

“…Small wind turbines are becoming an attractive solution for household applications. These micro generation units can be used as standalone applications or grid…”
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Sensorless small wind turbine with a sliding-mode observer for water heating applications by Senanayaka, Jagath Sri Lal, Karimi, Hamid Reza, Robbersmyr, Kjell G.

“…Water heating applications consume a considerable portion of electricity demand in most of countries. Small wind turbines are one of attractive alternatives…”
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