Signal denoising techniques for partial discharge measurements

Sriram, Sumithra; Nitin, S.; Prabhu, K.M.M.; Bastiaans, M.J.

doi:10.1109/tdei.2005.1561798

Cited by 134 publications

(95 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We mentioned below some of these methods of noise suppression based on several parameters. All these methods were compared according to the mean squared error (MSE) between the raw signal and the noise-suppressed signal as well as the execution time of filtering in [26]. By definition, the normalized MSE is: (19) X is is the noisy sequence, Y the filtered sequence, n the number of samples for which X is defined and the total noise power.…”

Section: Noise Suppression Techniquesmentioning

confidence: 99%

Non-Intrusive Partial Discharges Investigations on Aeronautic Motors

Billard

Abadie

Taghia

2016

SAE Technical Paper Series

View full text Add to dashboard Cite

OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 18225 Any correspondence concerning this service should be sent to the repository administrator: staff-oatao@listes-diff.inp-toulouse.fr AbstractThe present paper reports non-electrically intrusive partial discharge investigations on an aeronautic motor. Relevancy, robustness and repeatability of partial discharge testing procedures, both on insulating materials characterization and on operating aeronautic equipment are essential to ensure reliability of the aircraft systems. The aim of this paper is to be the very first step of defining such procedures and the associated test equipment.To do so, the paper will start by providing an understanding of partial discharge phenomena and will review typical more electrical aircraft architecture. Key characteristics causing partial discharge risk to increase will be highlighted. The impact of harness length, high performance power electronics and voltage level increase on insulation system is demonstrated.Then, an analysis is carried out from motor design perspective to find out which test procedure is relevant to assess each insulation system performance both at atmospheric and reduced pressures. The study helps to realize the benefits of using multiple test sample and procedure to assess insulation system performance level through the design process of the motor. It is shown that a good agreement observed between stator and representative samples. This paper will also review the ability of the non-intrusive test method to detect partial discharge with a full scope of voltage signal from AC to impulse voltage and under different pressures. The paper concludes with an analysis of results and thoughts about future work regarding motor design taking into account partial discharge risk and evolution of proposed procedure.

show abstract

Section: Noise Suppression Techniquesmentioning

confidence: 99%

Non-Intrusive Partial Discharges Investigations on Aeronautic Motors

Billard

Abadie

Taghia

2016

SAE Technical Paper Series

View full text Add to dashboard Cite

show abstract

“…Therefore, the hardware-based denoising module is indispensable to suppress strong noise and disturbance before digitization. In [85], 32 different types of denoising techniques, such as FFT threshold filter, notch filter and wavelet denoising, were compared and the results showed that the combination of wavelet and notch filter performed better for WN and DSI suppression.…”

Section: Software-based Denoisingmentioning

confidence: 99%

A Review of Online Partial Discharge Measurement of Large Generators

Luo

Wang³

2017

Energies

View full text Add to dashboard Cite

Abstract:Online partial discharge (PD) measurements have long been used as an effective means to assess the condition of the stator windings of large generators. An increase in the use of PD online measurement systems during the last decade is evident. Improvements in the detection capabilities are partly the reason for the increased popularity. Another reason has been the development of digital signal processing techniques. In addition, rapid progress is being made in automated single PD source classification. However, there are still some factors hindering wider application of the system, such as the complex PD mechanism and PD pulse propagation in stator windings, the presence of detrimental noise and disturbances on-site, and multiple PD sources occurring simultaneously. To avoid repetition of past work and to provide an overview for fresh researchers in this area, this paper presents a comprehensive survey of the state-of-the-art knowledge on PD mechanism, PD pulse propagation in stator windings, PD signal detection methods and signal processing techniques. Areas for further research are also presented.

show abstract

“…This signal preprocessing includes the following three steps: removal of the direct current (DC) signal component, denoising and filtering. 19,20 DC removal. The DC signal component, which should be removed from the original signal, was estimated using the mathematical expectation value calculated from the recorded signals.…”

Section: Data Pre-processingmentioning

confidence: 99%

Monitoring of train-induced vibrations on rock slopes

Yan

Zhao

et al. 2017

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Train-induced vibrations will undoubtedly influence the stability of slopes near railway lines. To monitor the effects of such vibrations on slope stability, a wirelessly networked vibration test system was established, which included wirelessly networked vibration meters, high-precision and high-speed three-dimensional sensors and a remote wirelessly networked data server system. This system represents the first attempt to monitor the effects of train-induced vibrations on the stability of slopes in China. It enables real-time and long-distance monitoring by means of remote transmission with a low cost and high efficiency. The duration, frequency, amplitude, peak acceleration and peak particle velocity were adopted as measures for evaluating the influence of train vibrations. Simultaneously, we used additional monitoring technologies to verify the conclusions of the wirelessly networked vibration test system. The monitoring results indicated that the peak particle velocity was much higher near the track and gradually decreased with increasing distance. When the distance between the measurement point and the road axis was 12 m (H = 0 m), the maximal peak particle velocity was 0.4 mm/s, which remained below the maximum safe value.

show abstract

Signal denoising techniques for partial discharge measurements

Cited by 134 publications

References 16 publications

Non-Intrusive Partial Discharges Investigations on Aeronautic Motors

Non-Intrusive Partial Discharges Investigations on Aeronautic Motors

A Review of Online Partial Discharge Measurement of Large Generators

Monitoring of train-induced vibrations on rock slopes

Contact Info

Product

Resources

About