Experience with PDA diagnostic testing on hydraulic generators

Lyles, J.F.; Stone, G.C.; Kurtz, M.

doi:10.1109/60.9358

Cited by 72 publications

(11 citation statements)

References 2 publications

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“…Efforts were directed at improving the electronics of measuring systems [81,82]. Specially developed systems, such as the Canadian PDA [83,84] for on-line diagnostics of hydrogenerator stator windings, subdivide the selected amplitude range into a smaller number of broader channels (typically -30). In many of these systems pulses of opposite polarity are s e p arately stored and counted.…”

Section: Ieee Bansactions On Dielectrics and Electrical Hsulatianmentioning

confidence: 99%

Evidence and presumption in PD diagnostics

Kelen¹,

Danikas

1995

IEEE Trans. Dielect. Electr. Insul.

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A general outline of the development of PD diagnostics is given with emphasis on problems of the validity of underlying models and the interpretation of results, because PD diagnostics is hardly ever direct and instead rests on a chain of inferences. Some major classical approaches are reviewed in this context, with a discussion of certain problems that also are significant for modern approaches. After a discussion of primary PD events and resulting degradation, some basic matters regarding measurement and testing are described and their problems are discussed. Particular attention is then paid t o various approaches to PD pulse spectroscopy and its application to product diagnostics, particularly after algorithmic processing of the recorded data. The paper concludes with a discussion of conclusions that may or may not be drawn validly from PD diagnostics. A number of warnings and some suggestions of further development are given.

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Section: Ieee Bansactions On Dielectrics and Electrical Hsulatianmentioning

confidence: 99%

Evidence and presumption in PD diagnostics

Kelen¹,

Danikas

1995

IEEE Trans. Dielect. Electr. Insul.

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“…Thus, they were merged to form the PRPD pattern reported in Figure 10. The visual inspection, [1,11], and the identification system, [67], applied to the pattern of Figure 10 provided the indication of "insulation-conductor delamination".…”

Section: Over-classification and Mergingmentioning

confidence: 99%

“…Synchronized multi-channel PD measurement systems, connected with multiple sensors, have been also proposed to reject both pulsating noise and PD cross-talk using the pulse-bypulse technique [11,13,14]. These solutions can reduce the influence of noise or disturbances but they are ineffective when applied to multiple PD sources.…”

Section: Introductionmentioning

confidence: 99%

“…Different hardware solutions, such as analog filters [8][9][10], bridge balancing techniques [11], phase-windows gates or antennas [10,12], are widely used to reduce the influence of noise. Synchronized multi-channel PD measurement systems, connected with multiple sensors, have been also proposed to reject both pulsating noise and PD cross-talk using the pulse-bypulse technique [11,13,14].…”

Section: Introductionmentioning

confidence: 99%

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Classification and separation of partial discharge signals by means of their auto-correlation function evaluation

Contin

Pastore

2009

IEEE Trans. Dielect. Electr. Insul.

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This paper describes a K-Means Clustering classification algorithm for the separation of Partial Discharge (PD) signals and pulsating noise due to multiple sources occurring in practical objects. It is based on the comparison of the Auto-Correlation Function (ACF) of the recorded signals assuming that the same source can generate signals having similar ACF while ACF differ when signals with different shapes are compared. The ACF has been selected for its capability of well summarize both time-and frequency-dependent features of the signals. A correlation index that presents the best compromise between strong and weak discrimination among pulses, has been selected out of different distance measurements. The final result of the algorithm is a set of classes containing signals having similar shape which can be processed successively for signal source identification. Meaningful applications of the proposed algorithm are also reported. Improvements in separation effectiveness can enhance the clearness of the PD patterns and, consequently, the quality of the defect identification.

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“…5. The NQN (Normalized Quantity Number) value is a measure of total energy released from partial discharges in one phase of a motor [4]. Table 3 shows the maximum, average, and minimum PD value resulting from the 500pF capacitors and the 80pF capacitors from the statistical analysis.…”

Section: Impact Of Coupler Typementioning

confidence: 99%