Recent Trends in Magnetic Sensors and Flux-Based Condition Monitoring of Electromagnetic Devices

An Enhanced Analysis of Inter-Laminar Faults in Magnetic Cores With Grain Oriented Electrical Steels for Fault Diagnosis and Condition Monitoring: Theoretical Background and Experimental Verification

“…Most of the existing techniques are mainly developed for stator cores of turbo generators. Nevertheless, they can be further evolved and implemented for power transformers [16][17][18]. Core quality assessment of power transformers is mainly performed by measuring overall power losses of the core, known as no-load losses, as defined by the British standard BS EN 60076-1-2011 [19].…”

Torque estimation in three-phase induction motors under broken bars and voltage variations using airgap flux measurement and a machine learning model

“…More recently, some works have highlighted that due to limitations of electrical monitoring for TIM fault detection, new researches have led to a shift in direction to airgap and stray flux monitoring approaches [8][9][10].…”

“…As cited by [18], several ML algorithms have been applied in recent years to industrial applications and to increase system efficiency, particularly by including probability functions and nonlinear modeling in relevant signal processing methods. For rotating machine condition monitoring, for example, ML was applied not only to detect a fault but also to classify its severity [10]. In [19], for example, one of the present authors has carried out a comparison between the support vector machine algorithm, the k-nearest neighbor classifier model and a multilayer perceptron neural network (MLP) to detect broken bars in induction motors.…”

Incipient fault detection and condition assessment in DFIGs based on external leakage flux sensing and modified multiscale poincare plots analysis

“…At present, the main non-invasive condition monitoring technologies widely studied are current, vibration, and flux-based fault diagnosis methods, which have been welldeveloped and explored extensively in research [1,11,12]. The CMS of wind turbines is mainly focused on vibration technologies applied to drivetrains, including gearboxes and bearings [1,2].…”

“…The magnetic flux leakage (MFL) signals have attracted the interest of many researchers and motor manufacturers, especially in high-power wind turbines because they contain rich fault information, are non-intrusive, flexible, easy to install, and lower cost [7,8,12]. The MFL information of the motor fault can be captured by fixing different configurations of flux sensors at different locations of the motor [7,8].…”