Early Hidden-Crack Detection in Circular Magnetic Encoder Rings Through FM-AM Signal Decoupling

Early hidden cracks in circular magnetic encoder rings induce only slight magnetic perturbations at the incipient stage, yet they may evolve into missing-pole, demagnetization, or severe waveform-distortion faults that degrade angular-displacement measurement and closed-loop control. This study establishes a physical mapping between crack-induced magnetization nonuniformity, pole-pitch deviation, and the amplitude-modulated and frequency-modulated components of the measured magnetic signal, and models the encoder output as a compound frequency-modulated–amplitude-modulated waveform. A precision-controlled experimental platform equipped with a self-developed tunnel magnetoresistance read head, a precision rotary stage, multi-axis positioning stages, and laser displacement sensing was built to suppress eccentricity-related disturbances and disturbances related to sensor lift-off distance. An analysis workflow combining fast Fourier transform-based band-pass filtering, Hilbert demodulation, sixth-order Butterworth low-pass filtering, and coefficient-of-variation analysis was used to extract the instantaneous amplitude and instantaneous angular frequency. Experiments on intact, hidden-crack, and visible-crack states show that the proposed normalized indicators sensitively capture weak crack-related fluctuations, reduce sensitivity to sensor lift-off distance after normalization, and increase monotonically with damage severity. The method does not require a high-accuracy external reference and shows promise for online monitoring of circular magnetic encoder rings and related electromagnetic sensing elements.

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Publication Details

Journal
Sensors
Published
2026-08-14
DOI
https://doi.org/10.3390/s26165135
Primary Topic
Non-Destructive Testing Techniques
Type
article
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article

Early Hidden-Crack Detection in Circular Magnetic Encoder Rings Through FM-AM Signal Decoupling

Xiaolong Fan, Hai Xu, Zhenyang Wu, Bin Wang et al.
Sensors
Non-Destructive Testing Techniques
article

Early Hidden-Crack Detection in Circular Magnetic Encoder Rings Through FM-AM Signal Decoupling

Xiaolong Fan, Hai Xu, Zhenyang Wu, Bin Wang, Dangwei Guo, Jinhua Guan
article en

Abstract

Early hidden cracks in circular magnetic encoder rings induce only slight magnetic perturbations at the incipient stage, yet they may evolve into missing-pole, demagnetization, or severe waveform-distortion faults that degrade angular-displacement measurement and closed-loop control. This study establishes a physical mapping between crack-induced magnetization nonuniformity, pole-pitch deviation, and the amplitude-modulated and frequency-modulated components of the measured magnetic signal, and models the encoder output as a compound frequency-modulated–amplitude-modulated waveform. A precision-controlled experimental platform equipped with a self-developed tunnel magnetoresistance read head, a precision rotary stage, multi-axis positioning stages, and laser displacement sensing was built to suppress eccentricity-related disturbances and disturbances related to sensor lift-off distance. An analysis workflow combining fast Fourier transform-based band-pass filtering, Hilbert demodulation, sixth-order Butterworth low-pass filtering, and coefficient-of-variation analysis was used to extract the instantaneous amplitude and instantaneous angular frequency. Experiments on intact, hidden-crack, and visible-crack states show that the proposed normalized indicators sensitively capture weak crack-related fluctuations, reduce sensitivity to sensor lift-off distance after normalization, and increase monotonically with damage severity. The method does not require a high-accuracy external reference and shows promise for online monitoring of circular magnetic encoder rings and related electromagnetic sensing elements.

SensorsVol. 26(16)
Openalex Percentile: Top 43%
Non-Destructive Testing Techniques
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Early Hidden-Crack Detection in Circular Magnetic Encoder Rings Through FM-AM Signal Decoupling — Xiaolong Fan, Hai Xu, et al. · Sensors (2026) | TGRS Research Map | TGRS