Terminal measurements based modeling of single phase transformer for condition monitoring

Bhowmick, S.; Nandi, S.

doi:10.1109/icelmach.2012.6350134

Cited by 2 publications

(1 citation statement)

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“…It is quite evident that the simulated and the experimental exciting currents are almost identical. Table II presents a comparison of the rms values of the simulated (based on the healthy single-phase transformer model derived from [24], [38], and [39]) and experimental exciting currents under the healthy state for different load conditions. Although the simulation was carried out using ideal sinusoidal voltage (without harmonics) at the rated value, the high degree of similarity between the simulated and experimental results demonstrates the accuracy of the terminal measurement-based …”

Section: Computation Of Magnetizing Inductance Coefficients and Thmentioning

confidence: 99%

Online Detection of an Interturn Winding Fault in Single-Phase Distribution Transformers Using a Terminal Measurement-Based Modeling Technique

Bhowmick

Nandi

2015

IEEE Trans. Power Delivery

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A noninvasive scheme for real-time and online detection of interturn winding faults in single-phase transformers has been proposed. A terminal measurement-based transformer modeling technique is central to the fault detection scheme. First, with the experimentally acquired primary line voltage and line current data of the healthy transformer, a healthy no-load model of the transformer is generated. Next, a healthy estimated indicator value, computed from this model under the given input voltage condition, is compared with the actual indicator value for detecting the presence of an interturn winding fault. Experiments have shown that the proposed scheme is not only capable of detecting incipient levels of interturn winding faults on primary and secondary windings under any load conditions, but also can estimate the fault severity level. In the end, a procedure to determine a suitable tripping threshold to de-energize the transformer under incipient fault has also been outlined.

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Section: Computation Of Magnetizing Inductance Coefficients and Thmentioning

confidence: 99%