دورية أكاديمية
أعرض في EDS

An Improved Spectral Subtraction Method for Eliminating Additive Noise in Condition Monitoring System Using Fiber Bragg Grating Sensors.

التفاصيل البيبلوغرافية
العنوان: An Improved Spectral Subtraction Method for Eliminating Additive Noise in Condition Monitoring System Using Fiber Bragg Grating Sensors.
المؤلفون: Liu Q; Schaeffler Hub for Advanced Research at NTU, 61 Nanyang Dr, ABN-B1b-11, Singapore 637460, Singapore.; School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore., Yu Y; Schaeffler Hub for Advanced Research at NTU, 61 Nanyang Dr, ABN-B1b-11, Singapore 637460, Singapore.; School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore., Han BS; Schaeffler Hub for Advanced Research at NTU, 61 Nanyang Dr, ABN-B1b-11, Singapore 637460, Singapore.; School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore., Zhou W; Schaeffler Hub for Advanced Research at NTU, 61 Nanyang Dr, ABN-B1b-11, Singapore 637460, Singapore.; School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
المصدر: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Jan 11; Vol. 24 (2). Date of Electronic Publication: 2024 Jan 11.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI, c2000-
مستخلص: The additive noise in the condition monitoring system using fiber Bragg grating (FBG) sensors, including white Gaussian noise and multifrequency interference, has a significantly negative influence on the fault diagnosis of rotating machinery. Spectral subtraction (SS) is an effective method for handling white Gaussian noise. However, the SS method exhibits poor performance in eliminating multifrequency interference because estimating the noise spectrum accurately is difficult, and it significantly weakens the useful information components in measured signals. In this study, an improved spectral subtraction (ISS) method is proposed to enhance its denoising performance. In the ISS method, a reference noise signal measured by the same sensing system without working loads is considered the estimated noise, the same sliding window is used to divide the power spectrums of the measured and reference noise signals into multiple frequency bands, and the formula of spectral subtraction in the standard SS method is modified. A simulation analysis and an experiment are executed by using simulated signals and establishing a vibration test rig based on the FBG sensor, respectively. The statistical results demonstrate the effectiveness and feasibility of the ISS method in simultaneously eliminating white Gaussian noise and multifrequency interference while well maintaining the useful information components.
References: Sensors (Basel). 2023 Apr 26;23(9):. (PMID: 37177504)
Opt Lett. 2023 Nov 1;48(21):5819-5822. (PMID: 37910767)
Sensors (Basel). 2023 Jul 26;23(15):. (PMID: 37571477)
Opt Express. 2020 Mar 2;28(5):6794-6805. (PMID: 32225919)
ISA Trans. 2018 Dec;83:261-275. (PMID: 30268438)
Sensors (Basel). 2023 Apr 01;23(7):. (PMID: 37050735)
Sensors (Basel). 2023 Feb 07;23(4):. (PMID: 36850478)
معلومات مُعتمدة: IAF-ICP Programme I2001E0067 Agency for Science, Technology and Research
فهرسة مساهمة: Keywords: additive noise; condition monitoring; fiber Bragg grating sensor; signal processing; spectral subtraction
تواريخ الأحداث: Date Created: 20240123 Latest Revision: 20240129
رمز التحديث: 20240129
مُعرف محوري في PubMed: PMC10821454
DOI: 10.3390/s24020443
PMID: 38257536
قاعدة البيانات: MEDLINE
الوصف
تدمد:1424-8220
DOI:10.3390/s24020443