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Digital monitoring and health diagnosis for mechanical equipment operation safety based on fiber Bragg

Zude ZHOU, Desheng JIANG, Quan LIU

《机械工程前沿（英文）》 2009年 第4卷 第1期   页码 5-14 doi: 10.1007/s11465-009-0011-3

摘要： This paper introduces fiber Bragg grating (FBG) based on a fiber optic grating sensor developed to be embedded on mechanical equipment for digital monitoring and health diagnosis. The theoretical and experimental researches on the new-style FBG sensor (FBGS) technology, high-speed demodulation, and data transmission are discussed. The transmission characteristics between the FBG and the detection interface, modeling and compensation method for online distributed multi-parameter digital monitoring and methods for data processing, synchronous sampling, and long-term dynamic digital monitoring using embedded technology are also presented. The acquired information by an FBGS can be used for the optimization of maintenance schedules and refinement of mechanical equipment design. It is a challenge to gather real-time data from components working at high speed and in a severe environment of high temperature, high pressure, and high rotation speed. Currently, there are no sensors or technologies available for digital monitoring and health diagnosis under this rigorous situation for use in mechanical engineering operation safety. As a result, this paper introduces an online distributed and integrated digital monitoring system and health diagnosis. The new principle and new method will contribute to modern measurements in science and technology, mechanical engineering, and large mechanical equipment operation safety.

关键词： fiber Bragg grating sensor (FBGS)     mechanical equipment operation safety     embedded technology     high-speed demodulation     digital monitoring     health diagnosis    

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Multiple fault separation and detection by joint subspace learning for the health assessment of wind

Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN

《机械工程前沿（英文）》 2017年 第12卷 第3期   页码 333-347 doi: 10.1007/s11465-017-0435-0

摘要：

The gearbox of a wind turbine (WT) has dominant failure rates and highest downtime loss among all WT subsystems. Thus, gearbox health assessment for maintenance cost reduction is of paramount importance. The concurrence of multiple faults in gearbox components is a common phenomenon due to fault induction mechanism. This problem should be considered before planning to replace the components of the WT gearbox. Therefore, the key fault patterns should be reliably identified from noisy observation data for the development of an effective maintenance strategy. However, most of the existing studies focusing on multiple fault diagnosis always suffer from inappropriate division of fault information in order to satisfy various rigorous decomposition principles or statistical assumptions, such as the smooth envelope principle of ensemble empirical mode decomposition and the mutual independence assumption of independent component analysis. Thus, this paper presents a joint subspace learning-based multiple fault detection (JSL-MFD) technique to construct different subspaces adaptively for different fault patterns. Its main advantage is its capability to learn multiple fault subspaces directly from the observation signal itself. It can also sparsely concentrate the feature information into a few dominant subspace coefficients. Furthermore, it can eliminate noise by simply performing coefficient shrinkage operations. Consequently, multiple fault patterns are reliably identified by utilizing the maximum fault information criterion. The superiority of JSL-MFD in multiple fault separation and detection is comprehensively investigated and verified by the analysis of a data set of a 750 kW WT gearbox. Results show that JSL-MFD is superior to a state-of-the-art technique in detecting hidden fault patterns and enhancing detection accuracy.

关键词： joint subspace learning     multiple fault diagnosis     sparse decomposition theory     coupling feature separation     wind turbine gearbox    

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中国高速列车健康监测与管理：进展及展望

王军,丁荣军

《中国工程科学》 2023年 第25卷 第2期   页码 232-242 doi: 10.15302/J-SSCAE-2023.02.019

摘要：

随着列车运营速度不断提升、配属规模及车辆种类不断扩展，加之受长交路、多物理场耦合等复杂服役环境的影响，高速列车安全保障及经济运维的要求持续提高；高速列车健康监测与管理技术的研究与应用，为中国高速铁路的长距离、大规模、高密度运营提供了关键支撑。本文阐述了健康监测与管理对高速列车的重要价值，回顾了近20年中国高速列车健康监测与管理的发展历程：从安全监控到关键系统健康监测，再到一体化、全寿命周期的运维管理；总结了列车全方位状态监测、精准评估与诊断预测、车辆远程运维服务、智能运维决策支持等方面的重大技术突破。进一步展望了广域全过程适应性、列车数据 / 计算资源一体化管理与应用、基于健康监测与管理的列车设计、车–线–站一体化智能运维等未来发展方向，以期应对中国高速铁路面临的高效安全运维、深度降本降耗等发展挑战，推动中国高速列车技术持续领先。

关键词： 高速列车；健康监测与管理；故障诊断预测；智能运维；车–线–站一体化    

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面向健康诊断的混凝土斜拉桥模型设计与分析

张国刚,方志,唐盛华,陈素君,陈峰

《中国工程科学》 2012年 第14卷 第11期   页码 49-56

摘要：

以广东惠州合生大桥为原型，基于相似理论面向健康诊断设计制作了1∶15的大比例混凝土斜拉桥模型，分析了模型设计中的问题及解决办法。建立了原型桥和模型桥的初始有限元模型（FEM），以实测数据对其进行修正，得到了符合实际的基准有限元模型，采用基准有限元模型对模型桥和原型桥的静动力特性及损伤状态下的损伤特性进行了计算和相似性分析。结果表明，模型设计中进行了各种简化和处理后，模型桥与原型桥的静动力性能及损伤状态下的损伤特性仍具有良好的相似性，采用该模型桥进行损伤识别试验研究能够较好地反映实际，为混凝土斜拉桥模型设计提供参考。

关键词： 混凝土斜拉桥     模型设计     模型修正     损伤诊断    

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Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges

《医学前沿（英文）》 2022年 第16卷 第1期   页码 10-16 doi: 10.1007/s11684-021-0889-7

摘要： Malaria remains a global health challenge, although an increasing number of countries will enter pre-elimination and elimination stages. The prompt and precise diagnosis of symptomatic and asymptomatic carriers of Plasmodium parasites is the key aspect of malaria elimination. Since the launch of the China Malaria Elimination Action Plan in 2010, China has formulated clear goals for malaria diagnosis and has established a network of malaria diagnostic laboratories within medical and health institutions at all levels. Various external quality assessments were implemented, and a national malaria diagnosis reference laboratory network was established to strengthen the quality assurance in malaria diagnosis. Notably, no indigenous malaria cases have been reported since 2017, but the risk of re-establishment of malaria transmission cannot be ignored. This review summarizes the lessons about malaria diagnosis in the elimination phase, primarily including the establishments of laboratory networks and quality control in China, to better improve malaria diagnosis and maintain a malaria-free status. A reference is also provided for countries experiencing malaria elimination.

关键词： malaria     laboratory diagnosis     quality control     malaria elimination     China    

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Primary health care for all by 2020: The systematic reform of the medical and health system in China

《医学前沿（英文）》 2010年 第4卷 第1期   页码 3-7 doi: 10.1007/s11684-010-0024-7

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The next step of community health construction: Training general practitioners and implementing health

Kan ZHANG MM, Wei DONG MM, Ying-Yao CHEN MD,

《医学前沿（英文）》 2010年 第4卷 第2期   页码 134-138 doi: 10.1007/s11684-010-0041-6

摘要： This article discusses the concept of health management and stresses that community health management should be the starting point of community health service, necessitating a paradigm shift from observing the treatment-oriented medical model to observing the prevention-and-health management-based medical model. Community health construction has entered a new phase, one which highlights the need to train general practitioners in practice-based life cycle health management. In addition, general practitioners should assume the mission of implementing community health management.

关键词： community health     general practitioners     health management    

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

《医学前沿（英文）》 2022年 第16卷 第2期   页码 157-175 doi: 10.1007/s11684-021-0884-z

摘要： Cancer imposes a severe threat to people’s health and lives, thus pressing a huge medical and economic burden on individuals and communities. Therefore, early diagnosis of cancer is indispensable in the timely prevention and effective treatment for patients. Exosome has recently become an attractive cancer biomarker in noninvasive early diagnosis because of the unique physiology and pathology functions, which reflects remarkable information regarding the cancer microenvironment, and plays an important role in the occurrence and evolution of cancer. Meanwhile, biosensors have gained great attention for the detection of exosomes due to their superior properties, such as convenient operation, real-time readout, high sensitivity, and remarkable specificity, suggesting promising biomedical applications in the early diagnosis of cancer. In this review, the latest advances of biosensors regarding the assay of exosomes were summarized, and the superiorities of exosomes as markers for the early diagnosis of cancer were evaluated. Moreover, the recent challenges and further opportunities of developing effective biosensors for the early diagnosis of cancer were discussed.

关键词： biosensor     exosome     cancer diagnosis    

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Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

《结构与土木工程前沿（英文）》 2008年 第2卷 第3期   页码 226-232 doi: 10.1007/s11709-008-0027-5

摘要： The ultrasonic tomographic technology is applied to diagnose the defects in hydraulic concrete structure. In order to improve the precision of diagnoses, the wavelet transformation is used in the processing of ultrasonic signals. The influences of water, scale and orientation of defect, processing methods and theoretical model on image resolution are investigated. The experimental results indicate that the result of the tomographic diagnosis of a single defect is sensitive and the boundary can be clearly determined. However, the image resolution of multiple defects is not satisfactory. The water content and scale of a defect may significantly affect the imaging resolution. Defects with the orientation perpendicular to the direction of the diagnosis may have higher precision in diagnosing. The wavelet transformation technology can elevate the imaging resolution. The applied calculation model plays a very important role in improving the accuracy of detection.

关键词： satisfactory     processing     orientation     tomographic diagnosis     orientation perpendicular    

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

《机械工程前沿（英文）》 2021年 第16卷 第4期   页码 814-828 doi: 10.1007/s11465-021-0650-6

摘要： The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery. Deep neural networks have provided unprecedented opportunities to condition monitoring from a new perspective due to the powerful ability in learning fault-related knowledge. However, the inexplicability and low generalization ability of fault diagnosis models still bar them from the application. To address this issue, this paper explores a decision-tree-structured neural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings. The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision tree methods by rebuilding the output decision layer of CNN according to the hierarchical structural characteristics of the decision tree, which is by no means a simple combination of the two models. The proposed DCTN model has unique advantages in 1) the hierarchical structure that can support more accuracy and comprehensive fault diagnosis, 2) the better interpretability of the model output with hierarchical decision making, and 3) more powerful generalization capabilities for the samples across fault severities. The multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition aeronautical bearing test rig. Experimental results can fully demonstrate the feasibility and superiority of the proposed method.

关键词： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

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Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

《机械工程前沿（英文）》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0689-z

摘要： Physical models carry quantitative and explainable expert knowledge. However, they have not been introduced into gas face seal diagnosis tasks because of the unacceptable computational cost of inferring the input fault parameters for the observed output or solving the inverse problem of the physical model. The presented work develops a surrogate-model-assisted method for solving the nonlinear inverse problem in limited physical model evaluations. The method prepares a small initial database on sites generated with a Latin hypercube design and then performs an iterative routine that benefits from the rapidity of the surrogate models and the reliability of the physical model. The method is validated on simulated and experimental cases. Results demonstrate that the method can effectively identify the parameters that induce the abnormal signal output with limited physical model evaluations. The presented work provides a quantitative, explainable, and feasible approach for identifying the cause of gas face seal contact. It is also applicable to mechanical devices that face similar difficulties.

关键词： surrogate model     gas face seal     fault diagnosis     nonlinear dynamics     tribology    

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

《工程管理前沿（英文）》 doi: 10.1007/s42524-023-0256-2

摘要： High-speed trains (HSTs) have the advantages of comfort, efficiency, and convenience and have gradually become the mainstream means of transportation. As the operating scale of HSTs continues to increase, ensuring their safety and reliability has become more imperative. As the core component of HST, the reliability of the traction system has a substantially influence on the train. During the long-term operation of HSTs, the core components of the traction system will inevitably experience different degrees of performance degradation and cause various failures, thus threatening the running safety of the train. Therefore, performing fault monitoring and diagnosis on the traction system of the HST is necessary. In recent years, machine learning has been widely used in various pattern recognition tasks and has demonstrated an excellent performance in traction system fault diagnosis. Machine learning has made considerably advancements in traction system fault diagnosis; however, a comprehensive systematic review is still lacking in this field. This paper primarily aims to review the research and application of machine learning in the field of traction system fault diagnosis and assumes the future development blueprint. First, the structure and function of the HST traction system are briefly introduced. Then, the research and application of machine learning in traction system fault diagnosis are comprehensively and systematically reviewed. Finally, the challenges for accurate fault diagnosis under actual operating conditions are revealed, and the future research trends of machine learning in traction systems are discussed.

关键词： high-speed train     traction systems     machine learning     fault diagnosis    

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Human health ambient water quality criteria for 13 heavy metals and health risk assessment in Taihu Lake

《环境科学与工程前沿（英文）》 2022年 第16卷 第4期 doi: 10.1007/s11783-021-1475-6

摘要：

• The concentrations of 13 heavy metals in Taihu Lake were analyzed.

关键词： Heavy metals     Human health ambient water quality criteria     Taihu Lake     Health risk assessment     Contribution rate    

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Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

《医学前沿（英文）》 2010年 第4卷 第3期   页码 275-279 doi: 10.1007/s11684-010-0101-y

摘要： Recurrent spontaneous abortion (RSA), defined as three or more consecutive pregnancy losses before 20 weeks of gestation, is difficult to treat in the clinical setting. It affects 1%–5% of women of reproductive age. In the investigations of immunopathogenesis, diagnosis, and treatment of RSA since the late 1980s, it was found that RSA was associated with abnormal maternal local or systemic immune response. The pathogenesis of autoimmune RSA was mainly associated with antiphospholipid antibody (APA), while that of alloimmune RSA was due to the disturbance of maternofetal immunological tolerance. Systemic etiological screening process and diagnosis systems of RSA with immune type were developed, and anticardiolipin (ACL or ACA) + anti-β2-GP1 antibody combining multiple assays for effective diagnosis of RSA with autoimmune type was first established. According to the dynamic monitoring of clinical parameters before and during gestation, low-dose, short-course, and individual immunosuppressive therapy and lymphocyte immunotherapy for RSA with immune type were carried out. The outcomes of the offsprings of patients with RSA were followed up, and the safety and validity of the therapies were confirmed. The research achievement leads to great progress in the diagnosis and treatment of RSA in China.

关键词： spontaneous abortion     recurrent     autoimmune     alloimmune     pathogenesis     diagnosis     immunotherapy    

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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

《机械工程前沿（英文）》 2010年 第5卷 第1期   页码 118-124 doi: 10.1007/s11465-009-0084-z

摘要： This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzy algorithm for plant machinery, such as the diagnosis method using the wavelet transform, rough sets, and fuzzy neural network; the diagnosis method based on the sequential inference and fuzzy neural network; the diagnosis approach by the possibility theory and certainty factor model; and the diagnosis method on the basis of the adaptive filtering technique and fuzzy neural network. These intelligent diagnostic methods have been successfully applied to condition diagnosis in different types of practical plant machinery.

关键词： intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

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标题 作者 时间 类型 操作

Digital monitoring and health diagnosis for mechanical equipment operation safety based on fiber Bragg

Zude ZHOU, Desheng JIANG, Quan LIU

期刊论文

Multiple fault separation and detection by joint subspace learning for the health assessment of wind

Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN

期刊论文

中国高速列车健康监测与管理：进展及展望

王军,丁荣军

期刊论文

面向健康诊断的混凝土斜拉桥模型设计与分析

张国刚,方志,唐盛华,陈素君,陈峰

期刊论文

Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges

期刊论文

Primary health care for all by 2020: The systematic reform of the medical and health system in China

期刊论文

The next step of community health construction: Training general practitioners and implementing health

Kan ZHANG MM, Wei DONG MM, Ying-Yao CHEN MD,

期刊论文

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

期刊论文

Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

期刊论文

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

期刊论文

Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

期刊论文

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

期刊论文

Human health ambient water quality criteria for 13 heavy metals and health risk assessment in Taihu Lake

期刊论文

Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

期刊论文

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

期刊论文