Modeling and validation of eccentricity effects in fine angle signals of high precision angular sensors

Behrani, Gaurav; Mony, Abhilash; Sharma, N. Gireesh

doi:10.1016/j.sna.2022.113774

Cited by 6 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The encoder consists of a grating, a laser source, and two photosensitive sensors. To gain a higher accuracy in the position measurement, the sinusoidal encoder [36], [37] is an important tool. Fig.…”

Section: Encoder Signal and Measurementmentioning

confidence: 99%

Cyclostationary Feature Mode Decomposition and Its Application in Fault Diagnosis of Planetary Gearboxes via Built-In Information

Zuo,

Miao,

Zhang

et al. 2024

IEEE Sensors J.

View full text Add to dashboard Cite

Fault detection of planetary gearboxes is of vital importance for the operation safety of large equipment. Builtin information, including the encoder signal, which can detect the slight torsional vibration caused by the machinery fault, has an outstanding superiority for the fault feature extraction. Yet, the differentiate operation of the encoder signal can enhance the fault information and also amplify the different interference components, which would further undermine the efficiency of the traditional methods. To overcome this issue, a new decomposition method, cyclostationary feature mode decomposition (CFMD), is proposed in this article. First, a filter bank with different initialization is constructed to provide the direction of the decomposition. Then, the maximum second-order cyclostationary acts as the optimal objective of decomposition to accurately lock the fault information. Finally, an entropy criterion is applied to select the informative mode and eliminate the mode mixing. Compared with the traditional decomposition methods, the proposed CFMD has obvious advantages in the process of the built-in encoder signal. Without any preprocessing enhanced methods, CFMD can extract weak fault information, and the proposed method focused on the periodic fault information without any prior knowledge. The superiority has been verified by the simulated and experimental data collected from planetary gearbox faults with the built-in encoder signal.

show abstract

Section: Encoder Signal and Measurementmentioning

confidence: 99%

Cyclostationary Feature Mode Decomposition and Its Application in Fault Diagnosis of Planetary Gearboxes via Built-In Information

Zuo,

Miao,

Zhang

et al. 2024

IEEE Sensors J.

View full text Add to dashboard Cite

show abstract

“…Another kind of method was realized with various sensors to achieve eccentricity error separation in the rotary table [15][16][17]. Ai Cheng-guang et al [18] proposed an eccentricity error separation model based on non-diametric dual reading heads, compared the phase difference of the moiré signals received by the dual reading heads, separated the eccentricity error and the eccentricity error direction of the circular grating in the platform by synthesizing the Lissajous graph of the signals, corrected the testing system based on the derived compensation formula, and increased the circular angle accuracy by nearly five times.…”

Section: Introductionmentioning

confidence: 99%

An Eccentricity Error Separation Method for Rotary Table Based on Phase Feature of Moiré Signal of Single Reading Head

Huang,

Che,

Zhu

et al. 2023

Photonics

View full text Add to dashboard Cite

In view of the limitations of the existing eccentricity error separation method of the rotary table, an eccentricity error separation method based on the phase feature of the moiré signal of a single reading head is proposed herein. A grating pair transmission model is established based on the analysis of the principle of the rotary table; thereby, the influence of eccentricity error on the phase feature of the moiré signal in the rotation course of the rotary table is clarified, and the corresponding model between the phase feature spectral components and the eccentricity error is established. The verification experiments of the proposed method are carried out based on the laboratory-made circuit system. After verifying the accuracy of the data acquisition of the laboratory-made circuit board, the verification experiments of the eccentricity error separation effect of the proposed method are carried out. The experimental data are compared with those of the traditional method, and the results show that the error between the two methods is 2.34 μm, while the relative error is 2.3%.

show abstract

Improving the interpolation accuracy of optical encoders via noise suppression and signal correction

Zhao,

Ban,

Zhang

et al. 2024

Sensors and Actuators A: Physical

View full text Add to dashboard Cite

Modeling and validation of eccentricity effects in fine angle signals of high precision angular sensors

Cited by 6 publications

References 20 publications

Cyclostationary Feature Mode Decomposition and Its Application in Fault Diagnosis of Planetary Gearboxes via Built-In Information

Cyclostationary Feature Mode Decomposition and Its Application in Fault Diagnosis of Planetary Gearboxes via Built-In Information

An Eccentricity Error Separation Method for Rotary Table Based on Phase Feature of Moiré Signal of Single Reading Head

Improving the interpolation accuracy of optical encoders via noise suppression and signal correction

Contact Info

Product

Resources

About