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.
Authors
- Tianrui Fang
- Feng Niu (ORCID: https://orcid.org/0000-0003-2465-647X)
- Shanhu Li (ORCID: https://orcid.org/0000-0002-5993-8349)
- Xu Liu
- Chang Wang (ORCID: https://orcid.org/0000-0003-1713-3443)
- Xin‐Hao Ding (ORCID: https://orcid.org/0000-0001-5629-9257)
Institutions
- Hebei University of Technology (CN)
- Tianneng Power (China) (CN)
Publication Details
- 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
- Type
- article
- Field-Weighted Citation Impact
- 0.00