Advantages of continuous monitoring of partial discharges in rotating equipment and switchgear

Kane, C.; Golubev, A.

doi:10.1109/papcon.2003.1216907

Cited by 11 publications

(4 citation statements)

References 2 publications

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“…In the case of a marine switchgear, condition monitoring (and the implied predictive maintenance and fault detection processes) is a viable tool for increasing operational safety, efficiency of the equipment, and reducing major failures risk and the accompanying possibility of arcing faults during maintenance and repair operations that are described in [ 43 ]. The operational advantages of a continuous monitoring system being [ 44 ]: labor-free measurements; accurate data due to real time operational measurements; improved service decision due to failure start/progress information; unnecessary maintenance reduction due to decisions based on data from continuous measurements; prioritization of equipment repair order. …”

Section: Applications Of Measurement Data Manipulationmentioning

confidence: 99%

Switchgear Digitalization—Research Path, Status, and Future Work

Kaštelan

Vujović

Krčum

et al. 2022

Sensors

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To keep pace with global energy efficiency trends and, in particular, emission reduction targets in the maritime sector, both onshore and maritime power distribution systems need to be adapted to the relevant new technologies and concepts. As an important link in the distribution chain, medium-voltage switchgear (MV) is expected to be stable and reliable while operating as efficiently as possible. Failures of MV equipment, while rare because the equipment must be safe to handle and use, have far-reaching consequences. The consequences of such failures, whether to the shore or marine power system, present risks to the entire power plant, so an accurate assessment of equipment condition is required to identify potential failures early. The solution is an emerging concept of digital switchgear, where the implementation of sensor technology and communication protocols enables effective condition monitoring, and the creation of a database that, when combined with machine learning algorithms, enables predictive maintenance and/or fault detection. This paper presents, step by step, the previous challenges, the current research (divided into predictive maintenance, condition monitoring, and fault detection categories), and the future directions in this field. The use of artificial intelligence is discussed to eliminate the disadvantage of manually interpreting operational data, and recommendations for future work are formulated, such as the need to standardize test procedures and data sets to train and compare different algorithms before they are used in practice.

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Section: Applications Of Measurement Data Manipulationmentioning

confidence: 99%

Switchgear Digitalization—Research Path, Status, and Future Work

Kaštelan

Vujović

Krčum

et al. 2022

Sensors

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“…To eliminate such drawbacks of manual and periodic monitoring, continuous monitoring is evolving as the preferred method of measurement. Continuous monitoring requires a number of field sensors which measure the data on 24/7 basis and thus, produce a significant amount of data [9,10]. Considering the typical case of PD monitoring, the amount of data grows substantially because of high-speed PD transient signals (as compared to low frequency faults) that can only be captured with a high sampling frequency.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of PD Data Acquisition Techniques for Condition Monitoring of Medium Voltage Cables

et al. 2020

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Already installed cables are aging and the cable network is growing rapidly. Improved condition monitoring methods are required for greater visibility of insulation defects in the cable networks. One of the critical challenges for continuous monitoring is the large amount of partial discharge (PD) data that poses constraints on the diagnostic capabilities. This paper presents the performance comparison of two data acquisition techniques based on phase resolved partial discharge (PRPD) and pulse acquisition (PA). The major contribution of this work is to provide an in-depth understanding of these techniques considering the perspective of randomness of the PD mechanism and improvements in the reliability of diagnostics. Experimental study is performed on the medium voltage (MV) cables in the laboratory environment. It has been observed that PRPD based acquisition not only requires a significantly larger amount of data but is also susceptible to losing the important information especially when multiple PD sources are being investigated. On the other hand, the PA technique presents improved performance for PD diagnosis. Furthermore, the use of the PA technique enables the efficient practical implementation of the continuous PD monitoring by reducing the amount of data that is acquired by extracting useful signals and discarding the silent data intervals.

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“…The basic layout of each system is same with the difference in frequency of monitoring, required resources and their impact on the reliability of the network. Periodic monitoring is traditionally performed, one to four times per year [4]. The insulation defects may manifest in between two consecutive periods.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of PD monitoring technique integrated into medium voltage cable network for smart condition assessment

Shafiq

Lehtonen

Hussain

et al. 2014

2014 Electric Power Quality and Supply Reliability Conference (PQ)

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Online condition assessment of medium voltage (MV) cables is a valuable tool to reduce the probability of forced outages in the distribution network. Partial discharge (PD) diagnostics is being used as an efficient methodology to predict the deteriorating insulation of the power components. In this paper a comprehensive condition assessment solution is proposed for cable networks. Low cost non-intrusive devices are installed at each critical location in such a way as to monitor the entire feeder. The Direction of arrival (DOA) technique is used to monitor the PD activity. The idea of a data-base is developed to process the PD data captured by sensors distributed along the cable feeder. The performance of integrated sensors is evaluated using ATP-EMTP simulation. The proposed system can be used for both continuous and periodic monitoring. However in order to overcome the limitations of the conventional periodic and continuous monitoring, a hybrid monitoring system is proposed to be applied for the real networks.

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Advantages of continuous monitoring of partial discharges in rotating equipment and switchgear

Cited by 11 publications

References 2 publications

Switchgear Digitalization—Research Path, Status, and Future Work

Switchgear Digitalization—Research Path, Status, and Future Work

Performance Comparison of PD Data Acquisition Techniques for Condition Monitoring of Medium Voltage Cables

Performance evaluation of PD monitoring technique integrated into medium voltage cable network for smart condition assessment

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