2015
DOI: 10.1109/tie.2015.2402641
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Analysis and neutral voltage based detection of inter-turn faults in high-speed permanent magnet machines with parallel strands

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Cited by 23 publications
(4 citation statements)
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“…Under ITSF, the most visible change in machine variables is the imbalance in the stator voltage and current. Therefore, a neutral-point voltage-based diagnosis technique is applied to different severities of ITSF in the motor [79]. This technique can be used to determine stator voltage phase imbalance caused by different types of short and open winding faults, yet the type of fault cannot be determined.…”
Section: Voltage-based Detection Techniquesmentioning
confidence: 99%
“…Under ITSF, the most visible change in machine variables is the imbalance in the stator voltage and current. Therefore, a neutral-point voltage-based diagnosis technique is applied to different severities of ITSF in the motor [79]. This technique can be used to determine stator voltage phase imbalance caused by different types of short and open winding faults, yet the type of fault cannot be determined.…”
Section: Voltage-based Detection Techniquesmentioning
confidence: 99%
“…The fault signature will be different if the ITSC is on a single stand or between two strands. Van Der Geest et al [ 3 ] have numerically analysed a PMSM with three parallel strands in the stator to study the effect of ITSC on the copper losses. The authors proposed a fault detector, which was the fundamental component of the difference between machine neutral voltage and the estimated inverter neutral voltage based on three equal impedance.…”
Section: Introductionmentioning
confidence: 99%
“…Over the past few decades, WSNs have attracted considerable attention because of their growing potential and positive impact on our daily life. These networks are normally application specific, such as, environmental surveillance [ 1 , 2 ], scientific observation [ 3 , 4 ], traffic monitoring [ 5 ]. Although ample research has been done on improving the reliability and robustness of these networks [ 6 , 7 , 8 , 9 , 10 , 11 ], network fault diagnosis has received little attention in the area of in situ network diagnosis for testing operational sensor networks under critical and crucial conditions.…”
Section: Introductionmentioning
confidence: 99%