Open AccessCurrent Signature Analysis as Diagnosis Media for Incipient Fault Detection
Author(s) -
Lucian MihetPopa
Publication year - 2007
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2007.02003
Subject(s) - signature (topology) , fault (geology) , computer science , fault detection and isolation , pattern recognition (psychology) , artificial intelligence , seismology , geology , mathematics , geometry , actuator
This paper focuses on the experimental investigation for incipient fault detection and fault detection methods existing in the literature, using Wound Rotor Induction Machine (WRIM). Three main experiments (one for stator phase unbalance, one for rotor phase unbalance and one for turn-to-turn faults) have been performed to study the electrical behavior of the WRIM. The article aims to provide further documentation for an advanced condition monitoring system, in order to avoid undesirable operating conditions and to detect and diagnose incipient electrical faults. A description of the measurement system and experimental investigation are presented and stator and rotor currents spectrum of the WRIM are analyzed