@article{MAKHILLJEAS2019142018551,
    title = {Inter-Turn Stator Winding Faults Diagnosis in Three-Phase Induction Motor
Fed from Imbalanced Voltage Source},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {20},
    pages = {7591-7598},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.7591.7598},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.7591.7598},
    author = {Bassim and},
    keywords = {Fault diagnosis,induction motor,stator winding faults,negative sequence current,burden,ripple},
    abstract = {Quick detection of a small initial fault is important in induction machine to prevent a consequent large
fault. Thus, several strategies have been presented for detection and diagnosis of different types of induction
motors faults. This study presents a model for an induction motor based on Coupled Circuit Approach (CCA).
This model is used to simulate an inter turn stator faults and investigate new fault detection approach when
an imbalance voltage source is considered. Unlike conventional detection and diagnoses approaches which
adopt symmetrical components analysis or power decomposition technique to obtain the negative sequence
component of stator current, the calculation of Current Space Vector Magnitude (CSVM) is adopted. The
negative sequence component of stator current is reflected as a ripple in the CSVM with peak to peak ripple
proportional to the inter-turn fault severity. Therefore, the required computation burden is reduced and the
detection and diagnoses become faster. Based on the Simulink model, different simulation results are used to
validate the proposal.}
    }