Deep Learning-Based Denoising of Noisy Vibration Signals from Wavefront Sensors Using BiL-DCAE.

Yun Pan, Quan Luo, Yiyou Fan, Haoming Chen, Donghua Zhou, Hongsheng Luo, Wei Jiang, Jinshan Su

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

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1 · What the graph read from it

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2 citing papers in PubMed.

Optical Biosensors for Blood Coagulation Monitoring: Advantages, Limitations, and Translational Potential.Biosensors · 2026
Review
Low-latency stage-adaptive cascade architecture for real time non-stationary noise filtering.PloS one · 2026
Article

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5 · Who and what money

Authors and funding

8 authors.

Yun PanKey Laboratory of Vibration Signal Capture and Intelligent Processing, School of Electronic Engineering, Yili Normal University, 448 Jiefang Road, Yining 835000, China.

Quan LuoKey Laboratory of Vibration Signal Capture and Intelligent Processing, School of Electronic Engineering, Yili Normal University, 448 Jiefang Road, Yining 835000, China.

Yiyou FanKey Laboratory of Vibration Signal Capture and Intelligent Processing, School of Electronic Engineering, Yili Normal University, 448 Jiefang Road, Yining 835000, China.

Haoming ChenKey Laboratory of Vibration Signal Capture and Intelligent Processing, School of Electronic Engineering, Yili Normal University, 448 Jiefang Road, Yining 835000, China.

Donghua ZhouKey Laboratory of Vibration Signal Capture and Intelligent Processing, School of Electronic Engineering, Yili Normal University, 448 Jiefang Road, Yining 835000, China.

Hongsheng LuoKey Laboratory of Vibration Signal Capture and Intelligent Processing, School of Electronic Engineering, Yili Normal University, 448 Jiefang Road, Yining 835000, China.

Wei JiangKey Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering & Applied Sciences, Ministry of Education, Nanjing University, 163 Xianlin Ave, Nanjing 210023, China.

Jinshan SuKey Laboratory of Vibration Signal Capture and Intelligent Processing, School of Electronic Engineering, Yili Normal University, 448 Jiefang Road, Yining 835000, China.

Funding

National Natural Science Foundation of China 62165015

6 · The paper itself

Abstract

In geophysical exploration, laser remote sensing detection of seismic waves based on wavefront sensors can be used for geological detection and geophysical exploration. However, due to the high sensitivity of the wavefront sensor, it is easy to be affected by the environmental light and vibration, resulting in random noise, which is difficult to predict, thus significantly reducing the quality of the vibration signal and the detection accuracy. In this paper, a large amount of data is collected through a single-point vibration detection experiment, and the relationship between amplitude and spot centroid offset is analyzed and calculated. The real noisy vibration signal is denoised and signal enhanced by using a BiLSTM denoising convolutional self-encoder (BiL-DCAE). The irregular and unpredictable noise generated by various complex noise mixing is successfully suppressed, and its impact on the vibration signal is reduced. The signal-to-noise ratio of the signal is increased by 13.90 dB on average, and the noise power is reduced by 95.93%, which greatly improves the detection accuracy.

Indexed as

neural networksignal processingvibration signalwavefront sensor

Identifiers

PMID40871880

DOI10.3390/s25165012

PMCPMC12390253

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.