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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 atthe early stage of fault diagnosis.line-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slit are proposed for weak signalAs a result, fault signals with high SNRs can be obtained for fault feature extraction.

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

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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:

Machinery fault diagnosis has progressed over the past decades with the evolution of machineries inHigh-value machineries require condition monitoring and fault diagnosis to guarantee their designed functionsResearch on machinery Fault diagnostics has grown rapidly in recent years.diagnosis in terms of four main aspects: Fault mechanism, sensor technique and signal acquisition, signalThe review discusses the special contributions of Chinese scholars to machinery fault diagnostics.

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

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Non-stationary signal analysis based on general parameterized time--frequency transform and its applicationin the feature extraction of a rotary machine

Peng ZHOU, Zhike PENG, Shiqian CHEN, Yang YANG, Wenming ZHANG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 292-300 doi: 10.1007/s11465-017-0443-0

Abstract: development of large rotary machines for faster and more integrated performance, the condition monitoring and faultSince the time-frequency (TF) pattern of the vibration signal from the rotary machine often containscondition information and fault feature, the methods based on TF analysis have been widely-used to solveA multi-component instantaneous frequency (IF) extraction method is proposed based on it.The tests on three simulation examples and a real vibration signal demonstrate the effectiveness and

Keywords： rotary machines     condition monitoring     fault diagnosis     GPTFT     SCI    

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Application of wavelet scalogram in feature extraction of acoustic emission signal

Xiao Siwen,Liao Chuanjun,Li Xuejun

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 69-75

Abstract: initiated by mechanical faults or damages is composed of two types of signals: high frequency burst impulse signaland long period quasi-stationary noise signal.By analyzing the characteristics and feature extraction of typical AE signals, the paper applies waveletscalogram for fault diagnosis based on AE technique, and presents the wavelet scalogram analysis methodof AE signal for the first time.

Keywords： wavelets scalogram     acoustic emission     feature extraction     fault diagnosis     rolling bearing    

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Weak characteristic information extraction from early fault of wind turbine generator gearbox

Xiaoli XU, Xiuli LIU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 357-366 doi: 10.1007/s11465-017-0423-4

Abstract:

Given the weak early degradation characteristic information during early fault evolution in gearboxA weak characteristic information extraction based on µ-SVD and local mean decompositionreconstruction, extract and subject the noisy part of signal to LMD and µ-SVD denoising, and obtain denoised signal through superposition.the weak characteristic information of early fault, and facilitate the early fault warning and dynamic

Keywords： generator gearbox     µ-singular value decomposition     local mean decomposition     weak characteristic information extraction     early fault warning    

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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: Gearbox fault diagnosis based on vibration sensing has drawn much attention for a long time.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 greatNumerical simulation and experimental results demonstrate the proposed method can realize gear faultThe identified GMS has a clear physical meaning and is thus very useful for fault diagnosis of the complicated

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

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Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 406-419 doi: 10.1007/s11465-017-0419-0

Abstract: source, time-variant vibration transfer path, and heavy background noise masking effect, the vibration signalratio, and weak fault feature.Aiming to extract the fault feature of planet gear effectively, we propose a novel feature extractionFinally, the time wavelet energy spectrum analysis is performed on the filtered signal, selecting Morletthe wind turbine gearbox test rig demonstrate that the proposed method is effective at the feature extraction

Keywords： wind turbine     planet gear fault     feature extraction     spectral kurtosis     time wavelet energy spectrum    

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Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 46-49 doi: 10.1007/s11465-007-0007-9

Abstract: Markov model (HMM) to determine the auto-regressive (AR) coefficients for each interval used for feature extractionThe fault diagnoses during the speed-up and speed-down processes for rotating machinery have been successfully

Keywords： speed-up     classifier     practical     extraction     experiment    

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Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: early as possible, one of the most important strategies is to apply more progressive techniques during signalThis paper presents a method based on stochastic resonance (SR) to detect weak fault signal.applied to extract the weak characteristic component from heavy noise to indicate the little crack fault

Keywords： extended stochastic resonance (SR)     stability analysis of SR     scale transform     weak signal detection     incipientfault detection     envelope analysis    

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Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis

He Zhengjia,Sun Hailiang,Zi Yanyang

Strategic Study of CAE 2011, Volume 13, Issue 10,   Pages 83-92

Abstract:

The faults initiated in operation (i.e. incipient fault) with the obscureHence, fault diagnosis and prognosis of incipient faults have been the difficulty and focus of the researchstudied, and the results showed the effectiveness of enhancement of weak dynamic signals and features extraction

Keywords： mechanical fault diagnosis     principle of inner product transform     adaptive basis function     multiwaveletdenoising     fault feature extraction    

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Use of a coded voltage signal for cable switching and fault isolation in cabled seafloor observatories None

Zhi-feng ZHANG, Yan-hu CHEN, De-jun LI, Bo JIN, Can-jun YANG, Jun WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1328-1339 doi: 10.1631/FITEE.1601843

Abstract: establishing a permanent, reliable, and robust seafloor observatory, a highly reliable cable switching and faultA coded voltage signal with a distinct sequence is employed as the communication medium to transmit commands

Keywords： Cabled seafloor observatories     Cable switching and fault isolation     Coded voltage signal     Maximum bit frequency    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichThe existing entity and relation extraction methods that depend on pretrained models have shown promisingEntity extraction models treat characters as basic semantic units while ignoring known character dependencyRelation extraction is based on the hypothesis that the relations hidden in sentences are unified, therebyIn addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Noise Reduction of Vibration Signal of Cyclic Machine Based on the EMD

Yang Jianwen,Jia Minping,Xu Feiyun,Hu Jianzhong

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 66-69

Abstract: Aimed at the low signal/noise ratio and non stationary feature of vibration signal of cyclic machine,EMD is introduced to the noise reduction of vibration signal and the useful signal is given prominenceefficiently, which offers the more efficient foundation to monitor on line and fault diagnosis of cyclicapplication, it shows that EMD is very useful in reducing noise and provides new means of vibration signal

Keywords： fault diagnosis     empirical mode decomposition     cyclic machine     filter    

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The Cyclic Bispectrum and Its Application to the Analysis of the Fault Signal About Cyclostationary

Su Zhongyuan,Jia Minping,Xu Feiyun,Hu Jianzhong

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 57-60

Abstract:

The way of computing the cyclic cumulant of cyclostationary signal of unknown cyclic frequency isstudied, the nth-order lag product of the input cyclostationary signal is analyzed and the way of decreasingBy the analysis of simulation testing data of phase modulation signal, the cyclic bispectrum is showed

Keywords： cyclic stationary     cyclic bispectrum     nth-order lag product    

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Ultrasound Blood Flow Non-invasive Detection and Characteristic Extraction of the Medical Signals

Wang Weiqi,Wang Yuanyuan,Yu Jianguo,Wu Xiaofeng,Liu Bin,Zhang Yu,Chen Sizhong,Yi Yanhua,Shao Qianming

Strategic Study of CAE 2001, Volume 3, Issue 2,   Pages 52-64

Abstract:

Signals from the human body are stochastic, complicated and with strong environmental noise. In this paper, the quantitative blood flow velocity detection using the Doppler ultrasound technique was firstly presented .Then several new theories and approaches of the modern information processing were introduced into the medical ultrasound field, which provided new means to extract the characteristic of the medical ultrasound information. These theories include the fractal, the morphology, the quantification theory, the wavelet transform, the pole track, the transmission line of the vessel, and so on. Finally, three application systems were designed using these new methods as the technology cores： the non-invasive detection system for hemodynamic parameters of the pulmonary circulation, the color-encoded spectrogram analyzer and the ultrasound quantitative detection system for the blood flow velocity.

Keywords： ultrasound blood flow     medical signal     non-invasive detection     characteristic extraction    

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Title Author Date Type Operation

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

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

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Journal Article

Non-stationary signal analysis based on general parameterized time--frequency transform and its applicationin the feature extraction of a rotary machine

Peng ZHOU, Zhike PENG, Shiqian CHEN, Yang YANG, Wenming ZHANG

Journal Article

Application of wavelet scalogram in feature extraction of acoustic emission signal

Xiao Siwen,Liao Chuanjun,Li Xuejun

Journal Article

Weak characteristic information extraction from early fault of wind turbine generator gearbox

Xiaoli XU, Xiuli LIU

Journal Article

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

Journal Article

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Journal Article

Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Journal Article

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Journal Article

Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis

He Zhengjia,Sun Hailiang,Zi Yanyang

Journal Article

Use of a coded voltage signal for cable switching and fault isolation in cabled seafloor observatories

Zhi-feng ZHANG, Yan-hu CHEN, De-jun LI, Bo JIN, Can-jun YANG, Jun WANG

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Noise Reduction of Vibration Signal of Cyclic Machine Based on the EMD

Yang Jianwen,Jia Minping,Xu Feiyun,Hu Jianzhong

Journal Article

The Cyclic Bispectrum and Its Application to the Analysis of the Fault Signal About Cyclostationary

Su Zhongyuan,Jia Minping,Xu Feiyun,Hu Jianzhong

Journal Article

Ultrasound Blood Flow Non-invasive Detection and Characteristic Extraction of the Medical Signals

Wang Weiqi,Wang Yuanyuan,Yu Jianguo,Wu Xiaofeng,Liu Bin,Zhang Yu,Chen Sizhong,Yi Yanhua,Shao Qianming

Journal Article