Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Abstract

This paper aims to update the review of diagnostic techniques for rotating electrical machines of different type and size. Each of the main sections of the paper is focused on a specific component of the machine (stator and rotor windings, magnets, bearings, airgap, load and auxiliaries, stator and rotor laminated core) and divided into subsections when the characteristics of the component are different according to the type or size of the machine. The review considers both the techniques currently applied on field for the diagnostics of the electrical machines and the novel methodologies recently proposed by the researchers in the literature.

Methods of Condition Monitoring and Fault Detection for Electrical Machines

“…Insulation is one of the most prone-to-fault parts among the components of an electrical machine [67]. In overall statistics, stator winding failures are 36% of all the faults [68].…”

Gradual Wear Diagnosis of Outer-Race Rolling Bearing Faults through Artificial Intelligence Methods and Stray Flux Signals

“…In this regard, during the last decade, several techniques for the diagnosis of bearingrelated failures have been extensively proposed, which have provided promising results under different approaches. Hence, in order to perform a final diagnosis, the great majority of proposed methodologies have used the information provided by diverse physical magnitudes such as vibration signals [3,[5][6][7][8], current signals [3,6,9], acoustic emission signals [10], and infrared thermography (IRT) signals [11,12]. The information provided by these magnitudes have allowed for the development of proper diagnosis methodologies.…”

Electromagnetic Analysis and Experimental Study to Optimize Force Characteristics of Permanent Magnet Synchronous Generator for Wave Energy Converter Using Subdomain Method

“…To design a robust PMSG for maintenance, it is necessary to improve the noise, vibration, and harshness (NVH) characteristics. In PMSGs, NVH characteristics are caused by aerodynamic, mechanical, and electromagnetic problems [10][11][12]. Aerodynamic problemsmainly caused by turbines-and mechanical problems caused by bearing and assembly errors can be ignored in the design stage of a PMSG.…”