Limitations of magnitude guidelines for PD Measurements on Stator Windings

Lachance, Mathieu; Sze, M. C.; Oettl, Fabian; Desrochers, Daniel

doi:10.1109/eic49891.2021.9612292

Cited by 2 publications

(4 citation statements)

References 12 publications

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“…In [43], PD levels were defined for stator windings of industrial motors with voltage classes from 10 kV to 15 kV, without providing information to explain how and under what circumstances these levels should be applied [44]. Table 1 shows the levels defined in [43].…”

Section: Acceptance Limits Based On Pd Measurementsmentioning

confidence: 99%

“…In the offline tests of [28,44], PD pulses were applied in different regions of the stator winding of a 15 kV turbo generator and a 12.5 kV induction motor, respectively. For all locations, the injected pulses were measured with different magnitudes, depending on the coupler configuration used.…”

Section: Acceptance Limits Based On Pd Measurementsmentioning

confidence: 99%

“…and works in specific environments. Therefore, it would be most convenient to analyze the PD history of each asset, creating taylor-made decision rules [42,44,45,[63][64][65]. In addition, PDs are measured with different magnitudes, depending on the applied filter settings as well as the frequency response of sensors.…”

Section: State Of the Art In Measurement And Analysis Of Pdsmentioning

confidence: 99%

“…In addition, PDs are measured with different magnitudes, depending on the applied filter settings as well as the frequency response of sensors. Other factors that can also influence the measurements are the distance of the couplers and the cabling used because, in some cases, the signals are distorted or attenuated [44,45]. Establishing absolute intervention limits for all machines may not be as feasible.…”

Section: State Of the Art In Measurement And Analysis Of Pdsmentioning

confidence: 99%

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Partial Discharges Monitoring for Electric Machines Diagnosis: A Review

et al. 2022

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Online monitoring of Partial Discharges (PDs) in rotating electrical machines is an useful tool for machine prognosis, as it presents reduced costs compared to intrusive inspections and is associated with relevant problems. Although this monitoring method has been developed for almost 50 years, the recent advancements in processes automation and signal processing techniques allow improvements that are still being studied by academic and industrial researchers. To analyze the current context of PDs monitoring, this article presents a literature review based on concepts of PDs in rotating machines, data acquisition techniques, state-of-the art commercial equipment, and recent methodologies for detection and pattern recognition of PDs. The challenges identified in the literature that motivate the development of more reliable and robust PD monitoring systems are presented and discussed.

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Section: Acceptance Limits Based On Pd Measurementsmentioning

confidence: 99%

Section: Acceptance Limits Based On Pd Measurementsmentioning

confidence: 99%