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Distributed monitoring and diagnosis system for hydraulic system of construction machinery

Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 106-110 doi: 10.1007/s11465-009-0089-7

Abstract: This paper mainly presents a distributed monitoring and diagnosis system for the hydraulic system ofThe hardware of the distributed condition monitoring and fault diagnosis system is designed.The experiments and applications indicate that the distributed condition monitoring and fault diagnosissystem can effectively realize its function of real-time online condition monitoring and fault diagnosisfor the hydraulic system of construction machinery.

Keywords： construction machinery     hydraulic system     distributed condition monitoring     controller area net (CAN) fieldbus     fault diagnosis    

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Design and realization of a remote monitoring and diagnosis and prediction system for large rotating

Shaohong WANG, Tao CHEN, Jianghong SUN

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 165-170 doi: 10.1007/s11465-009-0090-1

Abstract: Remote monitoring and diagnosis technology is a new fault diagnosis mode combining computer technology, communication technology, and fault diagnosis technology.The designed remote monitoring and diagnosis and prediction system for large rotating machinery integratesThe system can make further implementation of equipment prediction technology research based on conditionThe system monitors real-time condition of the equipment and achieves early fault prediction with great

Keywords： large rotating machinery     remote monitoring     fault diagnosis     prediction system    

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Utilizing big data to build personalized technology and system of diagnosis and treatment in traditional

Baoyan Liu

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 272-278 doi: 10.1007/s11684-014-0364-9

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Data mining diagnosis system based on rough set theory for boilers in thermal power plants

YANG Ping

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 162-167 doi: 10.1007/s11465-006-0017-z

Abstract: system based only on acquired data in SCADA systems is structured to extract hidden diagnosis informationThis makes it possible to eliminate additional tests for fault diagnosis.In the system, a focusing quantization algorithm is proposed to discretize all variables in the preparationA boiler fault diagnosis system is designed and realized by the proposed approach, its running resultsin a thermal power plant of Guangdong Province show that the system can satisfy fault diagnosis requirement
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A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 440-445 doi: 10.1007/s11708-009-0051-8

Abstract: The core objective to optimize a complex energy system is to set the reference target to guide the parameteradjustment of system operation.

Keywords： energy system     case-based     optimization     power unit operation     performance    

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Distributed flexible reconfigurable condition monitoring and diagnosis technology

HU You-min, YANG Shu-zi, DU Run-sheng

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 276-281 doi: 10.1007/s11465-006-0025-z

Abstract: increasingly decentralized, flexible and reconfigurable, more research needs to be done on monitoring and diagnosisThe distributed condition monitoring and diagnosis technology based on the flexible and reconfigurableThe model can fulfill in most instances the manufacturing system requirements for changing the configurationof the monitoring diagnosis system according to different manufacturing system configurations.This model also realizes the flexibility and reconfigurability of the monitoring diagnosis system in

Keywords： chemical     diagnosis system     configuration     monitoring     equipment    

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Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line

Tan Li,Liu Jin,Mei Liting

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 57-60

Abstract:

Developing fault diagnosis expert system for production line, the principle and method of structuring

Keywords： fault diagnosis     expert system     fuzzy inference    

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Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills

Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 483-490 doi: 10.1007/s11465-010-0118-6

Abstract: This paper presents an intelligent system that is necessary for diagnostic accuracy and efficiency inA rule-based reseaning (RBR) intelligent diagnostic system has been developed based on many successfulIts application results prove that the usability of the system is good and it will increasingly attain

Keywords： rule-based reasoning     fault diagnosis     intelligent system     gear box    

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A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps

Gao Jinji

Strategic Study of CAE 2001, Volume 3, Issue 9,   Pages 41-47

Abstract: The real-time monitoring network and artificial intelligent diagnosis technology for mechanical-electricThe black-gray-white gathering diagnosis method was given for the first time on the bases of approachThe mechanical fault diagnosis expert system based on black-gray-white gathering distinguishing sieve

Keywords： plant diagnosis engineering     real-time monitoring network     artificial intelligent diagnosis     first reason    

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Diagnosis and therapy of lacrimal system diseases by micro lacrimal endoscope

Nan XIANG, Weikun HU, Jing YUAN, Guigang LI, Haixia LIU

Frontiers of Medicine 2009, Volume 3, Issue 1,   Pages 113-117 doi: 10.1007/s11684-009-0001-1

Abstract: The lacrimal endoscope is applied to the diagnosis and therapy of the disorders of the lacrimal systemOne hundred and forty six pairs of eyes of 128 patients with lacrimal system disease were observed byThe lacrimal endoscope is a new method in the diagnosis of lacrimal system diseases.laser or micro drill to carry out the therapy under orthophoria, it will bring a great change to the diagnosisand therapy of lacrimal system diseases.

Keywords： lacrimal apparatus diseases     endoscopes    

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

Frontiers of Medicine 2022, Volume 16, Issue 1,   Pages 10-16 doi: 10.1007/s11684-021-0889-7

Abstract: The prompt and precise diagnosis of symptomatic and asymptomatic carriers of Plasmodium parasitesof the China Malaria Elimination Action Plan in 2010, China has formulated clear goals for malaria diagnosisVarious external quality assessments were implemented, and a national malaria diagnosis reference laboratorynetwork was established to strengthen the quality assurance in malaria diagnosis.This review summarizes the lessons about malaria diagnosis in the elimination phase, primarily including

Keywords： malaria     laboratory diagnosis     quality control     malaria elimination     China    

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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 ofsensitivity, and remarkable specificity, suggesting promising biomedical applications in the early diagnosisregarding the assay of exosomes were summarized, and the superiorities of exosomes as markers for the early diagnosisMoreover, the recent challenges and further opportunities of developing effective biosensors for the early diagnosis

Keywords： biosensor     exosome     cancer diagnosis    

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Research on the Fault Self-recovery Principle of Equipment System

Gao Jinji

Strategic Study of CAE 2005, Volume 7, Issue 5,   Pages 43-48

Abstract:

Can mechanical faults be controlled and eliminated at machine's run-time? Can a machine heal itself, as a living person or animal? What can be done before shutting down and overhauling a machine? Under the guidance of the systemics theory，borrowing the idea of “self-recuperation” therapeutic methdology in modern medicinal science, e.g.，the knowledge about the mechanisms of immunity, protection, compensation, regeneration, adaptation, etc., with the fault prevention and self-healing as the goal, this paper focuses on the study of the fault self-recovery principle and its engineering application, i.e. Fault Self-recovery Engineering (FSE), which can provide theoretical basis in developing a new generation of self-healing machine.

Keywords： equipment system     principle of fault self-recovery     fault self-recovery regulation     diagnosis     active control    

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Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 226-232 doi: 10.1007/s11709-008-0027-5

Abstract: The experimental results indicate that the result of the tomographic diagnosis of a single defect isDefects with the orientation perpendicular to the direction of the diagnosis may have higher precision

Keywords： 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

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 fault diagnosisadvantages in 1) the hierarchical structure that can support more accuracy and comprehensive fault diagnosisThe 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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Title Author Date Type Operation

Distributed monitoring and diagnosis system for hydraulic system of construction machinery

Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,

Journal Article

Design and realization of a remote monitoring and diagnosis and prediction system for large rotating

Shaohong WANG, Tao CHEN, Jianghong SUN

Journal Article

Utilizing big data to build personalized technology and system of diagnosis and treatment in traditional

Baoyan Liu

Journal Article

Data mining diagnosis system based on rough set theory for boilers in thermal power plants

YANG Ping

Journal Article

A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Journal Article

Distributed flexible reconfigurable condition monitoring and diagnosis technology

HU You-min, YANG Shu-zi, DU Run-sheng

Journal Article

Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line

Tan Li,Liu Jin,Mei Liting

Journal Article

Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills

Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE

Journal Article

A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps

Gao Jinji

Journal Article

Diagnosis and therapy of lacrimal system diseases by micro lacrimal endoscope

Nan XIANG, Weikun HU, Jing YUAN, Guigang LI, Haixia LIU

Journal Article

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

Journal Article

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

Journal Article

Research on the Fault Self-recovery Principle of Equipment System

Gao Jinji

Journal Article

Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Journal Article

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

Journal Article