His current research interests include the modeling, design and analysis of permanent-magnet synchronous machines for traction applications.Jiabin Wang (S'94-A'96-M'01-SM'03) received the B.Eng. and M.Eng. degrees from Jiangsu interests range from motion control and electromechanical energy conversion to electric drives for applications in automotive, renewable energy, household appliances and aerospace sectors.He is a fellow of the IET and a senior member of IEEE.

including the URL of the record and the reason for the withdrawal request. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICSAbstract-Fast and reliable detection of stator faults is of key importance for fail-safe and fault tolerant machine drives in order to immediately trigger appropriate fault mitigation actions. The paper presents a detailed analytical and experimental analysis of the behavior of a closed loop controlled permanent magnet machine drive under inter-turn fault conditions. It is shown that significant 2nd harmonic components in the dq voltages, currents, instantaneous active power (IAP) and reactive power (IRP) are generated during turn fault conditions. The analyses further show that the increase of the 2nd harmonic in IAP and IRP during fault conditions is comparatively higher than that of voltage and current, making them ideal candidates as turn fault indicators. A turn fault detection technique based on 2nd harmonic in IAP and IRP is implemented and demonstrated for a triple redundant, fault tolerant permanent magnet assisted synchronous reluctance machine (PMA SynRM) drive. The effectiveness of the proposed detection technique over the whole operation region is assessed, demonstrating fast and reliable detection over most of the operating region under both motoring and generating mode.Index Terms-Fault tolerant, turn fault, fault detection, fault mitigation, 2 nd harmonic, active power, reactive power.

interests range from motion control and electromechanical energy conversion to electric drives for applications in automotive, renewable energy, household appliances and aerospace sectors. He is a fellow of the IET and a senior member of IEEE.

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Abstract-A general modelling technique is proposed for a triple redundant 3x3-phase permanent magnet assisted synchronous reluctance machine (PMA SynRM). The magneto-motive force (MMF) of the machine is divided into three parts each associated with one 3-phase set. The MMF of each 3-phase set can be described by four variables: d-and q-axis components of the currents, the rotor angle and an MMF offset component which captures the mutual coupling between three 3-phase sets. Therefore the complete machine behavior in all operating conditions can be captured by means of 4-dimensional (4D) tables, which store the flux linkage and torque information. The 4D tables are produced by finite element (FE) analysis for one 3-phase set. As a result, the machine behavior can be predicted by interpolating the 4D tables. The model is capable of representing healthy and fault operations, including unequal current operation in three 3-phase sets, and offers great flexibility for performance assessment, post fault control and fault detection. Its effectiveness is verified by extensive FE simulation and experimental tests in different operation modes. Index Terms-Fault tolerant, fault modelling, permanent magnet assisted synchronous reluctance machine, multi-phase machine, magneto-motive force, MMF reconstruction.