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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 gearboxmethod can significantly weaken signal noise, effectively extract the weak characteristic information of earlyfault, and facilitate the early fault warning and dynamic predictive maintenance.

Keywords： µ-singular value decomposition     local mean decomposition     weak characteristic information extraction     earlyfault warning    

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Effects of exercise therapy on bone mineral density in early postmenopausal women: a controlled trial

Shilin DENG MD ,

Frontiers of Medicine 2009, Volume 3, Issue 3,   Pages 323-329 doi: 10.1007/s11684-009-0061-2

Abstract: Further, the exact dose-response relationship of exercise and bone mass in early postmenopause is not

Keywords： early postmenopausal women     bone mineral density     exercise     effects    

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RESEARCH AND APPLICATION OF CROP PEST MONITORING AND EARLY WARNING TECHNOLOGY IN CHINA

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1,   Pages 19-36 doi: 10.15302/J-FASE-2021411

Abstract: Nevertheless, the use of science and technology in monitoring and early warning of major crop pests providesThis review summarizes the most fundamental information on pest monitoring and early warning in Chinaapplication, Chinese laws and regulations related to plant protection, and the National Monitoring and Early

Keywords： China / law / early warning system and national crop pest monitoring / pest management / regulation and    

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Expression of inducible nitric oxide synthase in trophoblasts and deciduas in early medical abortion

Geqing XIA, Chaoying WU

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 216-219 doi: 10.1007/s11684-009-0028-3

Abstract: was to investigate the expression of inducible nitric oxide synthase in trophoblasts and deciduas in earlyrelationship of medical abortion through mifepristone and inducible nitric oxide synthase (iNOS) in early

Keywords： mifepristone     inducible nitric oxide synthase     early pregnancy     placental immunity    

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Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 998-1011 doi: 10.1007/s11709-020-0621-8

Abstract: In this paper, the effects of a reverse and a normal fault movement on a transversely crossing shallowas the sprayed concrete thickness, the geo-mechanical properties of soil, the tunnel depth, and the fault

Keywords： urban tunnel     sprayed concrete     reverse fault     normal fault     finite difference analysis    

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Role of chemerin/CMKLR1 in the maintenance of early pregnancy

Xuezhou Yang, Junning Yao, Qipeng Wei, Jinhai Ye, Xiaofang Yin, Xiaozhen Quan, Yanli Lan, Hui Xing

Frontiers of Medicine 2018, Volume 12, Issue 5,   Pages 525-532 doi: 10.1007/s11684-017-0577-9

Abstract: explore the effects of chemerin and its receptor chemokine-like receptor 1 (CMKLR1) on the maintenance of earlyThe expression levels of chemerin and CMKLR1 in the decidua tissues of 20 early normal pregnant womenand 20 early spontaneous abortion women were examined by Western blot and real-time polymerase chainWe found that the expression level of chemerin in women who had experienced early spontaneous abortionwas lower than in those who had experienced normal early pregnancy (P<0.01); conversely, CMKLR1

Keywords： chemerin     CMKLR1     early abortion    

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Early-onset diabetes: an epidemic in China

Jiemin Pan, Weiping Jia

Frontiers of Medicine 2018, Volume 12, Issue 6,   Pages 624-633 doi: 10.1007/s11684-018-0669-1

Abstract:

Although type 2 diabetes is a disease often associated with aging, the global prevalence of early-onsetMany studies have found that individuals with early-onset type 2 diabetes were at higher risk of developingIndividuals with early-onset diabetes are usually unwilling to visit hospital and have more confidencefocused on the treatment and prevention of complications in specific population of individuals with early-onsetMore data are definitely required to establish a reasonable risk model to screen for early-onset diabetes

Keywords： diabetes     early-onset     diabetes complications    

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Biosensor-based assay of exosome biomarker for early diagnosis of cancer

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 157-175 doi: 10.1007/s11684-021-0884-z

Abstract: Therefore, early diagnosis of cancer is indispensable in the timely prevention and effective treatmentExosome has recently become an attractive cancer biomarker in noninvasive early diagnosis because of, high sensitivity, and remarkable specificity, suggesting promising biomedical applications in the earlyregarding the assay of exosomes were summarized, and the superiorities of exosomes as markers for the earlyMoreover, the recent challenges and further opportunities of developing effective biosensors for the early

Keywords： biosensor     exosome     cancer diagnosis    

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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.The review discusses the special contributions of Chinese scholars to machinery fault diagnostics.On the basis of the review of basic theory of machinery fault diagnosis and its practical applications

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

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: Therefore, performing fault monitoring and diagnosis on the traction system of the HST is necessary.various pattern recognition tasks and has demonstrated an excellent performance in traction system faultprimarily aims to review the research and application of machine learning in the field of traction system faultThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelyFinally, the challenges for accurate fault diagnosis under actual operating conditions are revealed,

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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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.As 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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Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0725-z

Abstract: energy operator (EO) and its variants have received considerable attention in the field of bearing faultAs a result, the fault-related transients strengthened by these improved EO techniques are still subjectTo address these issues, this paper presents a novel EO fusion strategy for enhancing the bearing faultThird, the intrinsic manifolds are weighted to recover the fault-related transients.experimental verifications confirm that the proposed strategy is more effective for enhancing the bearing fault

Keywords： higher order energy operator     fault diagnosis     manifold learning     rolling element bearing     information    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery.However, the inexplicability and low generalization ability of fault diagnosis models still bar themneural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical faultunique advantages in 1) the hierarchical structure that can support more accuracy and comprehensive faultThe multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.Tuning requires considerable experiences on the knowledge on CNN training and fault diagnosis, and isTo solve this problem, this paper proposes a novel automatic CNN (ACNN) for fault diagnosis, which canThe results show that ACNN outperforms these HPO and ML/DL methods, validating its potential in fault

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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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.Numerical 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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Title Author Date Type Operation

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

Xiaoli XU, Xiuli LIU

Journal Article

Effects of exercise therapy on bone mineral density in early postmenopausal women: a controlled trial

Shilin DENG MD ,

Journal Article

RESEARCH AND APPLICATION OF CROP PEST MONITORING AND EARLY WARNING TECHNOLOGY IN CHINA

Journal Article

Expression of inducible nitric oxide synthase in trophoblasts and deciduas in early medical abortion

Geqing XIA, Chaoying WU

Journal Article

Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Journal Article

Role of chemerin/CMKLR1 in the maintenance of early pregnancy

Xuezhou Yang, Junning Yao, Qipeng Wei, Jinhai Ye, Xiaofang Yin, Xiaozhen Quan, Yanli Lan, Hui Xing

Journal Article

Early-onset diabetes: an epidemic in China

Jiemin Pan, Weiping Jia

Journal Article

Biosensor-based assay of exosome biomarker for early diagnosis of cancer

Journal Article

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

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

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

Journal Article