Wang, LixinWang, BinyanGao, HanYang, DeyouXia, ShiweiLie, Tek Tjing2025-07-302025-07-302025-07-29IEEE Transactions on Instrumentation and Measurement, ISSN: 0018-9456 (Print); 1557-9662 (Online), Institute of Electrical and Electronics Engineers (IEEE), 1-1. doi: 10.1109/tim.2025.35935660018-94561557-9662http://hdl.handle.net/10292/19614Synchrophasor-based identification of low-frequency oscillation is an effective means for monitoring the security and stability of power systems, while the loss of identification accuracy due to measurement noise remains a major obstacle. This paper proposes an improved fast independent component analysis (improved FastICA) algorithm to identify oscillation modes (oscillation frequency and damping ratio) from noise-contaminated synchronized measurements. To improve the ability of conventional FastICA to extract modes from noise-polluted synchrophasor, nonlinear matching pursuit (NMP) is introduced to replace the negative entropy calculation of mono-frequency modes in FastICA. NMP enables FastICA to identify oscillation frequency and damping ratio even under strong noise conditions, thereby significantly improving identification accuracy. The performance of the proposed method is evaluated on synthetic signals and numerical simulation signals from IEEE 16-machine system. The results of the identified modes in all cases as well as comparison results from conventional FastICA, EMD and VMD, all combined with Hilbert transform, confirm the accuracy, robustness and efficiency of the proposed method for oscillation mode identification.Copyright © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.0299 Other Physical Sciences0906 Electrical and Electronic EngineeringElectrical & Electronic Engineering4006 Communications engineering4008 Electrical engineering4009 Electronics, sensors and digital hardwareJournal ArticleOpenAccess10.1109/tim.2025.3593566