Design of Experiments Predictive Models as a Tool for Lifespan Prediction and Comparison for Enameled Wires Used in Low-Voltage Inverter-Fed Motors

Szczepanski, Mateusz; Malec, David; Maussion, Pascal; Manfè, Philippe

doi:10.1109/tia.2020.2970855

Cited by 8 publications

(10 citation statements)

References 26 publications

(32 reference statements)

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“…The partial discharge mechanism is a stochastic phenomenon which is well fitted using a two-parameter Weibull distribution [16], [17]. For a generic variable v, the cumulative distribution is detailed in Equation 5.…”

Section: Resultsmentioning

confidence: 99%

“…Due to the uneven voltage distribution through turns of these VSD motors, nearly the whole voltage will be applied to only a few enamel micrometers [4]. As the final goal of the experiment is to study the PDIV of turn-to-turn insulation, a twisted pair layout was chosen, because it is advised as one of the sample types for turn-to-turn insulation tests in the literature [16]. This setup allows a continuous contact between wires, similar to the worst-case scenario in low-voltage electric machine windings, which is often the weakest insulation subsystem for inverter-fed motors [8].…”

Section: Physics Of Partial Discharge Inception Voltagementioning

confidence: 99%

See 1 more Smart Citation

Uncertainty Sources in the Estimation of the Partial Discharge Inception Voltage in Turn-to-Turn Insulation Systems

Calle¹,

Martínez-Tarifa

Solanilla

et al. 2020

IEEE Access

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Partial discharges (PD) are one of the main causes of premature failure in low-voltage motors driven by variable-speed drives. The use of these control systems are being quite extended due to new applications, such as the more electric aircraft (MEA) or hybrid and electric vehicles, and this has pushed research towards appropriate designs of electric motors to avoid, as much as possible, the presence of PD within their windings. This paper presents a model to predict the partial discharge inception voltage (PDIV) in the insulation of low-voltage machines. A value for the secondary ionization coefficient based on a statistical study is also proposed. The deviations of the model are also studied by obtaining the uncertainty of the value of that coeficient and the predicted values of the PDIV for a set of wires. This uncertainty will be compared with other error sources such as generator harmonics and humidity. Finally, the tests are done for different temperatures extend the model applicability. INDEX TERMS Insulation design, inverter-fed machine, partial discharges, Paschen's Law, Temperature, Townsend's coefficients.

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Section: Resultsmentioning

confidence: 99%

Section: Physics Of Partial Discharge Inception Voltagementioning

confidence: 99%

Uncertainty Sources in the Estimation of the Partial Discharge Inception Voltage in Turn-to-Turn Insulation Systems

Calle¹,

Martínez-Tarifa

Solanilla

et al. 2020

IEEE Access

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show abstract

“…All these methods made a strong hypothesis on the relation between the factors and the life duration of the aged specimens. The lower part of Table 1 reports the references for the explicit empirical models [21,[26][27][28][29][30]. In [31], a fully unsupervised approach detected changes in the life status of a specimen.…”

Section: Related Workmentioning

confidence: 99%

“…The experiments involved different settings for the voltage, as general aging phenomena depends on this parameter [21,[27][28][29][30]. In particular, aging is faster as the voltage increases.…”

Section: Data Acquisitionmentioning

confidence: 99%

Online Predictive Maintenance Monitoring Adopting Convolutional Neural Networks

et al. 2021

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Thermal, electrical and mechanical stresses age the electrical insulation systems of high voltage (HV) apparatuses until the breakdown. The monitoring of the partial discharges (PDs) effectively assesses the insulation condition. PDs are both the symptoms and the causes of insulation aging and—in the long term—can lead to a breakdown, with a burdensome economic loss. This paper proposes the convolutional neural networks (CNNs) to investigate and analyze the aging process of enameled wires, thus predicting the life status of the insulation systems. The CNNs training does not require any kind of assumption of how the factors (e.g., voltage, frequency and temperature) contribute to the life model. The experiments confirm that the proposal obtains better estimations of the life status of twisted pair specimens concerning existing solutions, which are based on strong hypotheses about the life model dependency on the factors.

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“…This means that a precise understanding of the insulation system's behaviour in terms of PD inception during actual operation is crucial for guaranteeing the simultaneous fulfilment of reliability and power density constraints. Various investigations have been carried out on PD analysis for insulation systems of Type-I machines [2,8,9], although only few of them refer to motors for aerospace applications [10][11][12]. In [10], an innovative 'contactless' PD detection method for machines' insulation is proposed, and its suitability is verified in a representative aerospace environment, down to 100 mbar pressure.…”

Section: Introductionmentioning

confidence: 99%

Electrical Machines for the More Electric Aircraft: Partial Discharges Investigation

Madonna

Giangrande

Zhao³

et al. 2021

IEEE Trans. on Ind. Applicat.

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Modern electrical machines employed in transportation applications are required to provide high performance in terms of power (and torque) density. At the same time, being these applications safety-critical, a significant level of reliability and/or fault tolerance is expected. Among all the factors which can compromise motors reliability, partial discharges inception is one of the most crucial, in particular for low voltage, random wound machines. This paper presents an extensive experimental investigation on partial discharges in electrical machines for aerospace applications. Measurements are carried out using both sinusoidal and fast-rising pulses in a representative aerospace environment, emulating the typical ambient conditions encountered throughout a commercial aircraft mission, and beyond (i.e. down to 30 mbar). As a main result of the investigation, it is proved that electrical machines employed for actuating primary flight control surfaces feature a higher risk of partial discharges inception. Therefore, their insulation system demands an extremely careful design.

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Design of Experiments Predictive Models as a Tool for Lifespan Prediction and Comparison for Enameled Wires Used in Low-Voltage Inverter-Fed Motors

Abstract: Design of Experiments predictive models as a tool for lifespan prediction and comparison for enameled wires used in low voltage inverter-fed motors. (2020) IEEE Transactions on Industry Applications, 56 (3). 3100-3113.

Cited by 8 publications

References 26 publications

Uncertainty Sources in the Estimation of the Partial Discharge Inception Voltage in Turn-to-Turn Insulation Systems

Uncertainty Sources in the Estimation of the Partial Discharge Inception Voltage in Turn-to-Turn Insulation Systems

Online Predictive Maintenance Monitoring Adopting Convolutional Neural Networks

Electrical Machines for the More Electric Aircraft: Partial Discharges Investigation

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