Partial Discharge Detection with High‐Frequency Band through Resistance–Temperature Sensor of Hydropower Generator Stator Windings

Kanegami, M.; Miyazaki, Satoru; Miyake, Katsuyuki

doi:10.1002/eej.22832

Cited by 3 publications

(5 citation statements)

References 8 publications

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“…Optical effects (ultraviolet-visible-infrared range) Mach-Zehnder fiber interferometers/Fabry-Perot interferometers [54] Infrared camera [55] Yes Yes Thermal method Heat/high temperature Resistance-temperature sensor (RTD) [56] No Yes…”

Section: Optical Methodsmentioning

confidence: 99%

Radiometric Partial Discharge Detection: A Review

et al. 2023

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One of the most common failures or breakdowns that can occur in high-voltage (HV) equipment is due to partial discharges (PDs). This occurs as a result of inadequate insulation, aging, harsh environmental effects, or manufacturing flaws. PD detection and recognition methods have gained growing attention and have seen great progress in the past decades. Radiometric methods are one of the most investigated detection approaches due to their immunity to electromagnetic interference (EMI) and their capabilities to detect and locate PD activities in different applications such as transformers, cables, etc. Several review articles have been published to classify and categorize these works. Nonetheless, some concepts are missing, and some improvement techniques, such as PD detection at high-frequency (HF) and very high-frequency (VHF), have been overlooked. We present in this paper an exhaustive review study of state-of-the-art PD detection based on radiometric methods at different usable radiofrequency bands (i.e., HF, VHF, and UHF). Accordingly, we propose a new generic categorization approach based on the detected electromagnetic wave component (magnetic or electric fields) and pick-up location, either from free space or ground cable.

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Section: Optical Methodsmentioning

confidence: 99%

Radiometric Partial Discharge Detection: A Review

et al. 2023

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“…53 From the time-frequency analysis of the resistance-temperature sensor, the stator winding discharge detection can be improved, as the phase angle can aid in distinguishing signals from noise. 25 Temperature is also adopted as a condition parameter for estimating other variables. A threedimensional mathematical model relates the temperature, thermal deformation, and thermal stress of magnetic poles fields, in the rotor winding inter-turn short circuits.…”

Section: Temperaturementioning

confidence: 99%

“…The diagnosis of partial discharge allows accurate assessment of the degree of insulation degradation of the generating system. 25 These discharges can partially or entirely break down the insulation between conductors. The partial discharges produce physical indicators such as light flashes, acoustic noise, temperature gradients, chemical reactions, and electromagnetic pulses.…”

Section: Common Failure Modes and Failure Mechanisms In Hydroelectric...mentioning

confidence: 99%

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Condition-based maintenance in hydroelectric plants: A systematic literature review

Santis

Gontijo

Costa

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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Industrial maintenance has become an essential strategic factor for profit and productivity in industrial systems. In the modern industrial context, condition-based maintenance guides the interventions and repairs according to the machine’s health status, calculated from monitoring variables and using statistical and computational techniques. Although several literature reviews address condition-based maintenance, no study discusses the application of these techniques in the hydroelectric sector, a fundamental source of renewable energy. We conducted a systematic literature review of articles published in the area of condition-based maintenance in the last 10 years. This was followed by quantitative and thematic analyses of the most relevant categories that compose the phases of condition-based maintenance. We identified a research trend in the application of machine learning techniques, both in the diagnosis and the prognosis of the generating unit’s assets, being vibration the most frequently discussed monitoring variable. Finally, there is a vast field to be explored regarding the application of statistical models to estimate the useful life, and hybrid models based on physical models and specialists’ knowledge, of turbine-generators.

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“…A wide variety of sensors are used to test the partial discharge such as radio frequency, capacitor etc. [9] presented a partial discharge detection method, in which a resistance-temperature detector laid in the stator windings is used along with a continuous wavelet transform to improve the signal to noise ratio.…”

Section: B Partial Dischargementioning

confidence: 99%

A Review on Data-driven Predictive Maintenance Approach for Hydro Turbines/Generators

Wang¹,

Wang²,

Li³

2016

Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

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Abstract-Hydroelectricity as a renewable energy to respond the increasing population and environment crisis is widely used in the world. With the Hydro Turbines/Generators (HTG) being more and more complicated, the maintenance play a more and more important role in the production management in the hydro power plant. Many researches had concentrated on the predictive maintenance for the HTG in recent years. From the perspective of data-driven, this paper reviews and summarizes the key techniques regarding data acquisition, data processing, data analysis and data mining for the predictive maintenance of HTG. Especially, it place emphasis on the data-driven models for the diagnostics and prognostics. Finally, the paper concludes the current practices and presents a future research work.

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Partial Discharge Detection with High‐Frequency Band through Resistance–Temperature Sensor of Hydropower Generator Stator Windings

Cited by 3 publications

References 8 publications

Radiometric Partial Discharge Detection: A Review

Radiometric Partial Discharge Detection: A Review

Condition-based maintenance in hydroelectric plants: A systematic literature review

A Review on Data-driven Predictive Maintenance Approach for Hydro Turbines/Generators

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