Online Condition Monitoring of Line-End and Internal Coils Insulation for Inverter-Fed Machines Based on Common-Mode Current Modes

Addressing cable insulation parameter effects in practical applications, this paper proposes an online method using common-mode current modes to assess line-end and internal coil insulation conditions in inverter-fed machines. Firstly, a common-mode equivalent model incorporating cable insulation parameters is established. Analyzing the machine’s common-mode impedance characteristics reveals dominant modes and paths of common-mode current under common-mode voltage step jumps. This yields the relationship between high-frequency common-mode current oscillation frequency (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">HFCM</sub>) with line-end coil insulation, along with the coupling relationship between mid-frequency oscillation frequency (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MFCM</sub>) coupled with both line-end and internal coil insulation under varying cable inductance. To overcome the limitations of classical Fast Fourier Transform (FFT), which is primarily suitable for stationary signals (single-frequency signals), and the Empirical Modal Decomposition (EMD) algorithm is computationally complex and may have frequency aliasing, this paper uses the Variational Mode Decomposition (VMD) algorithm to obtain the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">HFCM</sub> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MFCM</sub>. The monitoring strategy employs: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">HFCM</sub> to determine line-end coil insulation degradation; combined with cable inductance and the insulation degradation condition of line-end coil, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MFCM</sub> assesses internal coil insulation degradation. Experiments demonstrate that the proposed method can sensitively detect incipient degradation in both line-end and internal insulation of inverter-fed machine windings.

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Journal
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2025-10-03
DOI
https://doi.org/10.1109/jestpe.2025.3617032
Primary Topic
Smart Grid and Power Systems
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article
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article

Online Condition Monitoring of Line-End and Internal Coils Insulation for Inverter-Fed Machines Based on Common-Mode Current Modes

Tianrui Fang, Feng Niu, Shanhu Li, Xu Liu et al.
IEEE Journal of Emerging and Selected Topics in Power Electronics
Smart Grid and Power Systems
article

Online Condition Monitoring of Line-End and Internal Coils Insulation for Inverter-Fed Machines Based on Common-Mode Current Modes

Tianrui Fang, Feng Niu, Shanhu Li, Xu Liu, Chang Wang, Xin‐Hao Ding
article en

Abstract

Addressing cable insulation parameter effects in practical applications, this paper proposes an online method using common-mode current modes to assess line-end and internal coil insulation conditions in inverter-fed machines. Firstly, a common-mode equivalent model incorporating cable insulation parameters is established. Analyzing the machine’s common-mode impedance characteristics reveals dominant modes and paths of common-mode current under common-mode voltage step jumps. This yields the relationship between high-frequency common-mode current oscillation frequency (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">HFCM</sub>) with line-end coil insulation, along with the coupling relationship between mid-frequency oscillation frequency (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MFCM</sub>) coupled with both line-end and internal coil insulation under varying cable inductance. To overcome the limitations of classical Fast Fourier Transform (FFT), which is primarily suitable for stationary signals (single-frequency signals), and the Empirical Modal Decomposition (EMD) algorithm is computationally complex and may have frequency aliasing, this paper uses the Variational Mode Decomposition (VMD) algorithm to obtain the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">HFCM</sub> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MFCM</sub>. The monitoring strategy employs: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">HFCM</sub> to determine line-end coil insulation degradation; combined with cable inductance and the insulation degradation condition of line-end coil, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MFCM</sub> assesses internal coil insulation degradation. Experiments demonstrate that the proposed method can sensitively detect incipient degradation in both line-end and internal insulation of inverter-fed machine windings.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 14(1)
Hebei University of Technology (CN), Tianneng Power (China) (CN)
Openalex Percentile: Top 73%
Smart Grid and Power Systems
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