A System for Incipient Fault Detection and Fault Diagnosis Based on MCSA

被引：0

作者：

Gazzana, Daniel da S. ^{[1
]}

Pereira, Luis Alberto ^{[2
]}

Fernandes, Denis ^{[2
]}

机构：

[1] Univ Fed Rio Grande do Sul, Dept Elect Engn, Porto Alegre, RS, Brazil

[2] Pontificia Univ Catolica Rio de Janeiro, Dept Elect Engn, BR-22453 Rio De Janeiro, Brazil

来源：

2010 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION: SMART SOLUTIONS FOR A CHANGING WORLD | 2010年

关键词：

Fault diagnosis; induction machines; spectral analysis; INDUCTION-MOTORS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The paper describes a system for automated detection of incipient faults in induction machines. The system has been based on the Motor Current Signature Analysis method (MCSA) and aimed to be applied in a thermal electric power plant in south Brazil. First, the mechanism of fault evolution is introduced and clarified regarding the most common induction motor faults: stator winding short-circuits, broken and cracked rotor bars and eccentricity faults. The influence of the load condition on the fault indicator is discussed based on practical cases, obtained through fault simulations using a prototype. The main theoretical and conceptual aspects of the developed system are presented, including the signal acquisition and conditioning as well the database which stores the motor signals acquired over a time period. Some results from the practical use of the system are shown to illustrate the system capabilities.

引用

页数：6

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