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Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 49-52

Abstract: The signal to noise ration (SNR) is used as the index for evaluating the performance of the data processing

Keywords： gravimeter     signal processing     wavelet transform     adaptive wavelet threshold     adaptive Kalman     filering    

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Forecasting measured responses of structures using temporal deep learning and dual attention

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 832-850 doi: 10.1007/s11709-024-1092-0

Abstract: The objective of this study is to develop a novel and efficient model for forecasting the nonlinear behavior of structures in response to time-varying random excitation. The key idea is to design a deep learning architecture to leverage the relationships, between external excitations and structure’s vibration signals, and between historical values and future values, within multiple time-series data. The proposed method consists of two main steps: the first step applies a global attention mechanism to combine multiple-measured time series and time-varying excitation into a weighted time series before feeding it to a temporal architecture; the second step utilizes a self-attention mechanism followed by a fully connected layer to predict multi-step future values. The viability of the proposed method is demonstrated via two case studies involving synthetic data from a three-dimensional (3D) reinforced concrete structure and experimental data from an 18-story steel frame. Furthermore, comparison and robustness studies are carried out, showing that the proposed method outperforms conventional methods and maintains high performance in the presence of noise with an amplitude of less than 10%.

Keywords： structural dynamic     time-varying excitation     deep learning     signal processing     response forecasting    

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Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3

Abstract: systems, the intercoupling of structure transfer paths results in a great reduction or even change of signalTherefore, using gearbox housing vibration signal to identify gear meshing excitation signal is of greatdemonstrate the proposed method can realize gear fault diagnosis better than the original housing vibration signal

Keywords： gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

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An Adaptive Demodulation Method for BPSK Signals

Li Yanxin,Hu Aiqun,Song Yubo

Strategic Study of CAE 2006, Volume 8, Issue 5,   Pages 49-51

Abstract:

The paper presents a novel method for demodulating the binary phase shift keying (BPSK) signals basing on adaptive filtering. The commonly used least mean square (LMS) error adaptive filtering algorithm is employed for studying the demodulating procedure and the performance of the novel adaptive BPSK demodulation. The novel adaptive BPSK demodulation does not need the adaptive filter completing convergence. The performance of the method in theory is compared with computer simulating results. It shows that the error rates in simulation agree well with that in theory. Also, it is indicated that the demodulation method has many advantages over conventional ones, such as the powerful anti-noise ability, the small transfer delay, and the convenient implementation with DSP technology, and has lower error rates than correlation modulation at the same sample rate.

Keywords： digital communications     adaptive signal processing     demodulation     BPSK    

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Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 264-291 doi: 10.1007/s11465-018-0472-3

Abstract: field of machinery fault diagnosis in terms of four main aspects: Fault mechanism, sensor technique and signalacquisition, signal processing, and intelligent diagnostics.

Keywords： fault diagnosis     fault mechanism     feature extraction     signal processing     intelligent diagnostics    

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Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 83-95 doi: 10.1631/FITEE.1500334

Abstract: on vector sensor arrays are presented as an example to demonstrate the effectiveness of the -valued signal

Keywords： Quaternion     Gradient operator     Signal processing     Least mean square (LMS) algorithm     Nonlinear adaptive    

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An Effective Method for Improving Silicon Micro-resonator System Performance

Xia Dunzhu,Wang Shourong,Zhou Bailing

Strategic Study of CAE 2006, Volume 8, Issue 10,   Pages 71-74

Abstract:

The working principle of silicon micro-resonator system was firstly introduced. An intelligence silicon micro-resonator system design and realization was presented in focus. Its two step working flows for roughness and fineness searching and digital interface technology were analyzed in detail. Combined with experimental data and sweeping curve, two different searching results came out under different vacuum circumstance and its working performance was well evaluated.

Keywords： direct digital synthesis (DDS)     silicon micro-resonator     AD9954     digital signal processing    

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CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 2,

Abstract: plant species Arabidopsis has been characterized but the characteristics of electrical signalUnlike those in Arabidopsis, wounding tomato leaves did not cause leaf-to-leaf electrical signalLeaflet wounding also activated electrical signal transduction and jasmonic acid (JA) signaling withinThis work reveals the nature of electrical signal transduction in tomato and emphasizes the key rolesof GLR3.3 and GLR3.5 in electrical signal transduction and JA signaling activation.

Keywords： electrical signal / glutamate receptor-like / herbivory / jasmonic acid / tomato    

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Review on flexible perovskite photodetector: processing and applications

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0749-z

Abstract: optical and electrical properties, remarkable mechanical flexibility, low-cost and low-temperature processingphotodetectors, strategies for device performance enhancement, few can be seen with a focus on the processingEmphatically, processing strategies for photodetectors are presented following, including flexible substrates

Keywords： photodetector     perovskite     flexible     processing     application    

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Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: Rotating machine fault signal extraction becomes increasingly important in practical engineering applicationsHowever, fault signals with low signal-to-noise ratios (SNRs) are difficult to extract, especially atline-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slit are proposed for weak signalThe effectiveness of weak harmonic and periodic impulse signal detection via line-defect PCs are investigated

Keywords： phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

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A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 64-68

Abstract: The method, in which mccltiple similar signals are superposed, can not only decrease the noise in the signal

Keywords： vibrating wave     reflection wave     signal enhancement     software for superposition signal    

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Recent advances in co-processing biomass feedstock with petroleum feedstock: A review

Frontiers in Energy doi: 10.1007/s11708-024-0920-1

Abstract: Co-processing of biomass feedstock with petroleum feedstock in existing refineries is a promising technologyMuch effort has been dedicated to advancing co-processing technologies.process for the further development of co-processing technologies.Moreover, it summarizes and discusses co-processing projects in pilot or larger scale.Furthermore, it briefly prospects the research trend of co-processing in the end.

Keywords： co-processing     biomass     bio-oil     petroleum feedstock     fluid catalytic cracking     hydrotreating    

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The role of protein kinase C epsilon in neural signal transduction and neurogenic diseases

Yuan CHEN, Qi TIAN

Frontiers of Medicine 2011, Volume 5, Issue 1,   Pages 70-76 doi: 10.1007/s11684-011-0119-9

Abstract: on cortical processing at both the single cell level and network level.could regulate distinct aspects of neural signal transduction and suggest that the coordinated actionssignal pathway in the developing brain.

Keywords： signal transduction     neurogenic disease    

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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

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Performance prediction of switched reluctance generator with time average and small signal models

Jyoti KOUJALAGI, B. UMAMAHESWARI, R. ARUMUGAM

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 56-68 doi: 10.1007/s11708-012-0216-8

Abstract: mathematical model and predicts the performance of switched reluctance generator with time average and small signalFinally, to track control voltage and current wave shapes, a small signal model is designed.

Keywords： generator     reluctance     switching model     small signal model     time average model    

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Title Author Date Type Operation

Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Journal Article

Forecasting measured responses of structures using temporal deep learning and dual attention

Journal Article

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article

An Adaptive Demodulation Method for BPSK Signals

Li Yanxin,Hu Aiqun,Song Yubo

Journal Article

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Journal Article

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Journal Article

An Effective Method for Improving Silicon Micro-resonator System Performance

Xia Dunzhu,Wang Shourong,Zhou Bailing

Journal Article

CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Journal Article

Review on flexible perovskite photodetector: processing and applications

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Journal Article

Recent advances in co-processing biomass feedstock with petroleum feedstock: A review

Journal Article

The role of protein kinase C epsilon in neural signal transduction and neurogenic diseases

Yuan CHEN, Qi TIAN

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article

Performance prediction of switched reluctance generator with time average and small signal models

Jyoti KOUJALAGI, B. UMAMAHESWARI, R. ARUMUGAM

Journal Article