Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Both in industrial as in controlled environments, such as high-voltage laboratories, pulses from multiple sources, including partial discharges (PD) and electrical noise can be superimposed. These circumstances can modify and alter the results of PD measurements and, what is more, they can lead to misinterpretation. The spectral por clustering technique (SPCT) allows separating PD sources and electrical noise through the two-dimensional representation (por ratio map or PR map) of the relative spectral por in two intervals, high and low frequency, calculated for each pulse captured with broadband sensors. This method allows to clearly distinguishing each of the effects of noise and PD, making it easy discrimination of all sources. , the separation ability of the SPCT clustering technique when using a Rogowski coil for PD measurements is evaluated. Different parameters re studied in order to establish which of them could help for improving the manual selection of the separation intervals, thus enabling a better separation of clusters. The signal processing can be performed during the measurements or in a further analysis.
['Jorge Alfredo Ardila-Rey', 'Ricardo Albarracín', 'Fernando Álvarez', 'Aldo Barrueto']
I am writing a research paper on a idea A validation of the spectral power clustering technique (SPCT) by using a Rogowski coil in partial discharge measurements.
[{"from": "human", "value": "I am writing a research paper on a idea A validation of the spectral power clustering technique (SPCT) by using a Rogowski coil in partial discharge measurements."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Both in industrial as in controlled environments, such as high-voltage laboratories, pulses from multiple sources, including partial discharges (PD) and electrical noise can be superimposed. These circumstances can modify and alter the results of PD measurements and, what is more, they can lead to misinterpretation. The spectral por clustering technique (SPCT) allows separating PD sources and electrical noise through the two-dimensional representation (por ratio map or PR map) of the relative spectral por in two intervals, high and low frequency, calculated for each pulse captured with broadband sensors. This method allows to clearly distinguishing each of the effects of noise and PD, making it easy discrimination of all sources. , the separation ability of the SPCT clustering technique when using a Rogowski coil for PD measurements is evaluated. Different parameters re studied in order to establish which of them could help for improving the manual selection of the separation intervals, thus enabling a better separation of clusters. The signal processing can be performed during the measurements or in a further analysis."}]