Banca de DEFESA: IGOR DE SOUSA MEDEIROS TORRES

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : IGOR DE SOUSA MEDEIROS TORRES
DATA : 28/07/2021
HORA: 09:00
LOCAL: Videoconferência
TÍTULO:

Diagnostic Evaluation of Electrical Machines by Partial Discharges

PALAVRAS-CHAVES:

Partial discharges; Digital filters; Electric Machines; Generators.

PÁGINAS: 78
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
ESPECIALIDADE: Máquinas Elétricas e Dispositivos de Potência
RESUMO:

Partial discharges are transient phenomena that usually occur involving an insulating portion involved in an electric field and immersed in a gaseous environment. The level of this activity has been correlated in recent years to the state of the insulating materials used in electrical systems. Particularly in the segment of electric machines, partial discharges can provide crucial information for monitoring the condition of the equipment, bringing data on the presence of defects in the insulation, its evolution and even location.

As these are signals that mostly occur in the MHz spectrum, the capture, treatment and interpretation of information are complex, requiring robust acquisition systems and computers to filter out noise and components of unwanted frequency of the signals, preserving the relevant features for analysis. In possession of this information, it is possible to use the normative literature to, by comparison, assess what behavior observed in the signal in question and seek to point out the approximate location of a possible defect.

This work discusses a comparative analysis of three partial discharge data filtering mechanisms and compares its final performance with a known diagnosis of a real test object. In order to achieve this goal, an online partial discharge signal collection was performed from a generator that had the coupling capacitors installed on the machine terminals. The raw data was then treated by software by removing unwanted frequency components and eliminating any presence of noise. This package of information is used to classify defects based on the shape of the graphs and their normative reference. Finally, in possession of each suggested diagnosis for each filtering modality, the information is compared with the actual situation of the machine that was opened for maintenance approximately 6 months after data collection.

The method developed in this work can assist in the study, analysis and treatment of the data of partial discharges, trying to provide other mechanisms of separation of the relevant information for the analyst who will compile the information and make the diagnosis of the state of the machine starting from reliable information.

MEMBROS DA BANCA:
Presidente - 1484412 - FERNANDO AUGUSTO MOREIRA
Interno - 2506534 - EDUARDO FURTADO DE SIMAS FILHO
Externo à Instituição - TARSO VILELA FERREIRA - UFS
Externo à Instituição - EDSON GUEDES DA COSTA - UFCG