Influence of high frequency current transformers bandwidth on charge evaluation in partial discharge measurements

Rodrigo, A.; Llovera, P.; Fuster, Vicente Domingo Estruch; Quijano, Alfredo

doi:10.1109/tdei.2011.6032852

Cited by 34 publications

(18 citation statements)

References 14 publications

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“…A high-frequency current transformer (HFCT) with a frequency range of 10 kHz-400 MHz surrounds ground wire to monitor the PD signal. Before testing the samples, the measuring system was calibrated with a pulse generator and by means of an algorithm elaborated in [21] to have 10-pC resolution. In addition, a 6-kV 60-Hz sinusoidal voltage was applied to check against background discharge.…”

Section: Experiments Setup and Proceduresmentioning

confidence: 99%

Partial Discharge Investigation of Form-Wound Electric Machine Winding for Electric Aircraft Propulsion

Wang

et al. 2020

IEEE Trans. Transp. Electrific.

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Electric machine for aircraft propulsion is required to have high power density and high reliability, but the harsh operating environment, such as low air pressure, will challenge the motor's insulation system. This article presents the partial discharge (PD) investigation of the form-wound winding in high-frequency electric machines for electric aircraft propulsion. Experimental results show that the PD activity is largely enhanced due to the decrease in air pressure. PD inception voltage (PDIV) decreases to ∼50%-60%, and the PD magnitude dramatically increases when the pressure drops from 1 to 0.2 atm. Several windings with introduced defects were also tested to extract features from phase-resolved PD (PRPD) analysis, which can be used for PD pattern recognition. In addition, a PD-based failure precursor, combining the apparent charge, number, and phase interval of the monitored PD profile, is proposed to monitor the insulating condition of the thermally and electrically aged windings. The proposed failure precursor generally shows a rising trend with the aging time in this article. The application of the proposed failure precursor on online condition monitoring needs more investigation through long-term online observation of the electric machine.

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Section: Experiments Setup and Proceduresmentioning

confidence: 99%

Partial Discharge Investigation of Form-Wound Electric Machine Winding for Electric Aircraft Propulsion

Wang

et al. 2020

IEEE Trans. Transp. Electrific.

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“…The ground wire passes through a high‐frequency current transformer (HFCT) to monitor the PD signal. Before measuring the PD signal of the tested samples, the testbench is calibrated to have a resolution of more than 10 pC according to [18]. Besides, the system is checked to be PD‐free by applying 6 kV high voltage without any load.…”

Section: Form‐wound Windings and Accelerated Aging Experimentsmentioning

confidence: 99%

Insulation condition forewarning of form‐wound winding for electric aircraft propulsion based on partial discharge and deep learning neural network

Wang

Han

et al. 2020

High Voltage

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Form‐wound windings in electric machines designed for electric aircraft propulsion face reliability challenges due to the severe operating environment, such as high temperature and low pressure. This study proposes a forewarning method for insulation condition monitoring of form‐wound windings based on partial discharge (PD) and deep learning neural network. Three PD features are extracted from the PD profile, which provides information about physics‐of‐failure and reflects the degree of insulation degradation. An algorithm fusion extracted from auto‐encoder and long short‐term recurrent neural network is proposed to synthesize one failure precursor from these three features and make multi‐time‐step prediction through historical data to provide forewarning. An electrical and thermal accelerated ageing test is performed on the form‐wound windings at 0.2 atm to simulate working environment of electric aircraft. The proposed method is validated on the accelerated ageing dataset and shows better prediction accuracy than some existing time‐series prediction methods, indicating the advantages of the proposed method. Moreover, an on‐line hardware setup using a deep learning processor is recommended to implement the forewarning method. The proposed approach has the potential to be widely applied to other insulation systems and contribute to work on condition monitoring.

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“…Different approaches have been developed and applied to PD measurement and processing techniques in order to achieve accurate diagnoses. Most of them are focused on wideband measurements with different types of sensors [ 5 , 9 , 10 ], noise rejection techniques [ 11 ], pulse classification processes [ 12 , 13 , 14 ] and defect location and identification [ 15 , 16 ]. In the study presented herein a complete measuring and processing method providing a comprehensive solution for the most common problems arising in on-line measurements is described.…”

Section: Introductionmentioning

confidence: 99%

Application of HFCT and UHF Sensors in On-Line Partial Discharge Measurements for Insulation Diagnosis of High Voltage Equipment

Álvarez

Garnacho

Ortego

et al. 2015

Sensors

169

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Partial discharge (PD) measurements provide valuable information for assessing the condition of high voltage (HV) insulation systems, contributing to their quality assurance. Different PD measuring techniques have been developed in the last years specially designed to perform on-line measurements. Non-conventional PD methods operating in high frequency bands are usually used when this type of tests are carried out. In PD measurements the signal acquisition, the subsequent signal processing and the capability to obtain an accurate diagnosis are conditioned by the selection of a suitable detection technique and by the implementation of effective signal processing tools. This paper proposes an optimized electromagnetic detection method based on the combined use of wideband PD sensors for measurements performed in the HF and UHF frequency ranges, together with the implementation of powerful processing tools. The effectiveness of the measuring techniques proposed is demonstrated through an example, where several PD sources are measured simultaneously in a HV installation consisting of a cable system connected by a plug-in terminal to a gas insulated substation (GIS) compartment.

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Influence of high frequency current transformers bandwidth on charge evaluation in partial discharge measurements

Cited by 34 publications

References 14 publications

Partial Discharge Investigation of Form-Wound Electric Machine Winding for Electric Aircraft Propulsion

Partial Discharge Investigation of Form-Wound Electric Machine Winding for Electric Aircraft Propulsion

Insulation condition forewarning of form‐wound winding for electric aircraft propulsion based on partial discharge and deep learning neural network

Application of HFCT and UHF Sensors in On-Line Partial Discharge Measurements for Insulation Diagnosis of High Voltage Equipment

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