High efficiency, high reliability and excellent dynamic performance have been key aspects considered in recent years when selecting motors for modern drive systems. These features characterize permanent magnet synchronous (PMSMs). This paper presents the application of continuous wavelet transform (CWT) artificial intelligence (AI) techniques to detection classification PMSM stator winding faul...

The phase selection and fault location methods of generator stator winding single-phase grounding are greatly affected by the transition resistance. A new ground approach based on BP neural network is proposed in this research from a data-driven angle. This method uses to calculate probability three-phase occurrence identify directly that takes amplitude angle characteristics zero-sequence volt...

In this paper the incipient fault detection problem in induction machine stator-winding is considered. The problem is solved using a new technique of change point detection in time series, based on a two-step formulation. The first step consists of a fuzzy clustering to transform the initial data, with arbitrary distribution, into a new one that can be approximated by a beta distribution. The f...

This paper deals with a fault-tolerant semi-12-phase permanent-magnet synchronous machine (PMSM) used for electric vehicles. High fault-tolerant and low toque ripple features are achieved by employing fractional slot concentrated windings (FSCWs) and open windings. Excessive magnetomotive force (MMF) harmonic components can lead to thermal demagnetization of rotor magnets as well as high core l...

The paper deals with faults diagnosis method proposed to detect the inter-turn and turn earth short circuit in stator winding of three-phase high-speed solid rotor induction motors. This based on negative sequence current motor fuzzy neural network algorithm. On basis analysis 2-D electromagnet field impedance has been derived develop equivalent circuit. is simulated by MATLAB software study re...

Abstract In modern drive systems, the high-efficient permanent magnet synchronous motors (PMSMs) have become one of most substantial components. Nevertheless, such machines are exposed to various types faults. Hence, on-line condition monitoring and fault diagnosis PMSMs necessary. One common PMSM faults is stator winding fault. Due destructive character this failure, it necessary use diagnosti...

This paper presents a novel approach to current signature analysis based on wavelet transform of the stator current. The proposed method lies in the fact that by using wavelet transform, the inherent non-stationary nature of stator current can be accurately considered. The key characteristics of the proposed method are its ability to provide feature representations of multiple frequency resolut...

For the problem of vertical-moved and discontinuous stator resulting from disturbance, this paper proposes an dual mode composite control structure for permanent magnet linear motor to prevent stepping out. The composite controller is designed containing fuzzy control, neural network control and genetic algorithm. The mechanism of the control and parameter optimization method for fuzzy neural n...