Aug 2026· 2026 3rd International Conference on Image Processing, Multimedia Technology and Machine Learning (IPMML)· pp. 198-202· 0 citations· 12 references
Abstract
Accurate extraction of n× harmonic components is critical for rotor fault diagnosis but is challenged by speed fluctuations in quasi-constant-speed systems and the frequent unavailability of keyphasor signals. This paper proposes a novel resampling method based on the zero-crossing instants of the 1× rotational component. The method extracts the fundamental frequency via narrowband filtering, constructs a staircase signal from its zero-crossings, derives keyphasor pulses by differentiation, and performs uniform resampling between consecutive markers. Compared with the Hilbert phase unwrapping approach, the proposed method eliminates end effects and prevents error accumulation through piecewise resampling. Validation on both synthetic signals and Case Western Reserve University bearing data demonstrates that the method significantly improves the accuracy of 2× and 3× components, with amplitude increases of 40% and 70%, respectively. The results confirm that the proposed method provides an effective and reliable solution for harmonic extraction in quasi-constant-speed systems without requiring keyphasor signals.
Precise diagnosis of rolling bearing health conditions is essential for reducing the maintenance costs of rotating machinery. To overcome the limitations of conventional spectrum segmentation methods, which rely on fixed filter banks and struggle to adapt to complex modulation characteristics, this paper proposes a cep...
Yaxin Liu, Pengcheng Zhao, Chen-Yu Wang et al.· Measurement science and tech...· 0 citations
This article presents an efficient and accurate dynamic phasor estimator for phasor measurement units (PMUs) operating under the IEC/IEEE 60255-118-1 standard. First, a singular energy spectrum (SES)-based adaptive model order determination scheme is proposed to robustly identify the number of components under noise an...
Jian Song, Xiao-Jie Ruan, Jun-Hao Zhang et al.· IEEE Transactions on Instrum...· 0 citations
Detection of broken rotor bars in induction motors based on sideband components near the fundamental stator current frequency often yields unreliable results under variable operating conditions due to masking effects and the dominant amplitude of the fundamental component. This study proposes a robust fault detection m...
Alexander Shestakov, Dmitry Galyshev, V. Eremeeva et al.· ACTA IMEKO· 1 citation
Aiming at the problem that the complex electromagnetic environment leads to the decline of electrical parameter detection accuracy and the lag of transient response under the background of new power system, a highly robust signal processing technology scheme is studied. Firstly, a mathematical model of mixed interferen...
Wei-Xin Liu, Yin-Yin Zhang, Shi-Yang Liu et al.· European Conference on Elect...· 0 citations
Under time-varying operating conditions, signals generated by mechanical equipment usually exhibit strong non-stationarity, frequency-modulation and amplitude-modulation (FM-AM), and contamination by background noise. These characteristics pose three main challenges for time-frequency analysis (TFA): the instantaneou...
Zhi-Feng Hu, Hao Zhang, Bing-Yan Chen et al.· Measurement science and tech...· 0 citations
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