The RPDIV and the limits of its definition according to IEC 60034-18-41: the effect of voltage conditioning

Caprara, Andrea; Ciotti, Giacomo; Cavallini, A.; Rumi, Alberto

doi:10.1109/eic43217.2019.9046551

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…Although the Standards mentioned above provide some effective solutions to detect and prevent insulation degradation problems, they still have some limitations and should be further investigated. Firstly, the definition of RPDIV in these Standards may not be accurate enough, which means that under different testing environments or calculation methods this value might be inconsistent [60]. Additionally, it does not mention the system conditioning time and rest time and how to calculate the RPDIV when there are PD bursts.…”

Section: ) Limitationsmentioning

confidence: 99%

Motor Winding Insulation Degradation Under Repetitive Voltage Pulses

Yang,

Phung

2024

IEEE Access

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Variable speed drives (VSDs) are widely utilized to control motors such as pumps, compressors, fans, etc. However, the endurance of motor winding insulation under repetitive voltage pulse excitation is weakened, resulting in premature failure and shortening the expected operating life. This article reviews the literature of investigations spanning the last two decades on the problem. Researchers have focused on different aspects to explain this from a particular angle. The precise mechanism is complicated as a number of interacting factors contribute to premature insulation failure. Insulation degradation in motors can be attributed to thermal, mechanical, chemical, and electrical stress. It seems that space charge accumulation and partial discharge (PD) are the two main influences; the former can exacerbate the electric stress distribution whilst the latter promotes insulation deterioration.

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Section: ) Limitationsmentioning

confidence: 99%

Motor Winding Insulation Degradation Under Repetitive Voltage Pulses

Yang,

Phung

2024

IEEE Access

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“…The relevant standards are to be discussed here since a large number of publications refer to standards and some papers also discuss them with regard to their suitability for WBG devices [43], [46], [77], [93], [116], [123], [137]. The standard 60034-18-41 [27] is intended for type I (< 700 V) PD-free machines and standard 60034-18-42 [138] is intended for type II (> 700 V) PD-resistant machines, as in Section II-A mentioned.…”

Section: Relevant Standardsmentioning

confidence: 99%

The Insulation Resilience of Inverter-Fed Low Voltage Traction Machines: Review, Challenges, and Opportunities

2022

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The use of wide bandgap (WBG) semiconductor devices, which enable higher switching slew rates, and the increase in DC link voltage, which provides system-wide advantages, exposes the winding system of traction machines to enhanced electrical stress. The resulting nonlinear voltage distribution along the motor winding favors partial discharges (PD), which in low voltage (LV) machines causes excessive damage to the insulation system, and premature failure can occur. A simple solution by increasing the enamel thickness of the wires leads on the one hand to a lower copper fill factor. On the other hand, this measure is not necessarily accompanied by an increase in electrical resilience in the case of pulsed voltage. It is therefore essential to understand the phenomenon of partial discharges, which is composed of a large number of processes and mechanisms, to be able to make an estimation of aging. The ultimate goal is to derive a lifetime model that links the dynamic load collectives -ideally in conjunction with the environmental stress influences -of a traction application to a usage-dependent and realistic prediction of the residual lifetime. To this end, this paper provides an overview of the current state of science and technology in this interdisciplinary topic by describing, with reference to high voltage (HV) technology/engineering, the design of the insulation system, the discharge physics, the degradation mechanisms, the statistical effects to be considered, and the partial discharge measurement methods.

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“…The current definition of RPDIV in international standards does not account for PD bursts. To address this issue, conditioning the insulation system above the RPDIV level is proposed as a suitable approach to reduce the likelihood of observing PD bursts [13,14]. This study provides recommendations for performing more accurate RPDIV measurements by combining the understanding of PD activity behavior with the impact of conditioning.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning and Long-Duration PRPD Analysis to Uncover Weak Partial Discharge Signals for Defect Identification

Chen,

Chou

2023

Applied Sciences

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This study focuses on improving the defect recognition accuracy under weak partial discharges (PDs) in epoxy resin through phase-resolved partial discharge (PRPD) analysis. The method is to refine the data rather than enhance the algorithm. Two measurement conditions are compared until PRPD pattern saturation is achieved: one-minute and one-hour durations. The PD data specifically target three void types located at different positions within the epoxy material. The aim is to evaluate how the presence of weak PDs at the PD extinction voltage (PDEV) influences defect recognition accuracy. This research sheds light on the potential implications of neglecting the significance of weak PD signals in defect detection. A convolutional neural network (CNN) model is trained using PRPD data recorded at the repetitive PD inception voltage (RPDIV) and tested using the new PRPD data from both conditions recorded from a lower PDIV to a PDEV. The trained CNN model achieves a defect recognition accuracy of 100% for a one-hour duration, highlighting the importance of not neglecting weak PD signals. This emphasizes the significance of extended measurement duration and pattern saturation in capturing and analyzing weak PD signals for an improved defect recognition. This study contributes to the advancement of practical applications by understanding the behavior of the epoxy material and enhancing defect detection techniques.

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The RPDIV and the limits of its definition according to IEC 60034-18-41: the effect of voltage conditioning

Cited by 5 publications

References 1 publication

Motor Winding Insulation Degradation Under Repetitive Voltage Pulses

Motor Winding Insulation Degradation Under Repetitive Voltage Pulses

The Insulation Resilience of Inverter-Fed Low Voltage Traction Machines: Review, Challenges, and Opportunities

Deep Learning and Long-Duration PRPD Analysis to Uncover Weak Partial Discharge Signals for Defect Identification

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