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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzyalgorithm 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 methodThese intelligent diagnostic methods have been successfully applied to condition diagnosis in different

Keywords： intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

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Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 498-505 doi: 10.1007/s11684-020-0791-8

Abstract: On the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosiscases involving nine common DSD-related diseases and three causes other than DSD as the differential diagnosis

Keywords： disorders of sex development (DSD)     intelligent diagnosis     dynamic uncertain causality graph    

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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: Deep learning has achieved much success in mechanical intelligent fault diagnosis in recent years.Compared with other classical deep learning methods, the proposed fault diagnosis method has considerable

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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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 successful

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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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 functionsfour main aspects: Fault mechanism, sensor technique and signal acquisition, signal processing, and intelligentOn the basis of the review of basic theory of machinery fault diagnosis and its practical applicationsthe paper concludes with a brief discussion on the future trends and challenges in machinery fault diagnosis

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

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Technology research and system development of diagnosis and service for intelligent power equipment in

Xu Guanghua,Liang Lin,Zhang Qing,Jing Minqing,Wen Guangrui,Gao Zhiyong,Jin Ying,Li Wenhai

Strategic Study of CAE 2013, Volume 15, Issue 1,   Pages 79-86

Abstract: techniques, such as signal collection, dynamically adaptive monitoring, health condition assessment, intelligentdiagnosis, rapid balancing of rigid rotor and intelligent maintenance decision, are researched.demonstration base of monitoring and service support is to be built to provide analysis of monitoring and diagnosis

Keywords： power equipment     diagnosis and service     life cycle    

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

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0689-z

Abstract: However, they have not been introduced into gas face seal diagnosis tasks because of the unacceptable

Keywords： 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

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.Machine learning has made considerably advancements in traction system fault diagnosis; however, a comprehensiveaims to review the research and application of machine learning in the field of traction system fault diagnosisThen, 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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Prognostics and Health Management of High-Speed Trains in China: Progress and Prospect

Wang Jun, Ding Rongjun

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 232-242 doi: 10.15302/J-SSCAE-2023.02.019

Abstract: breakthroughs in four aspects, namely, comprehensive train condition monitoring, accurate assessment and diagnosisprediction, vehicle remote O&M services, and intelligent O&M decision support.data and computing resources, train design based on PHM, and train–line–station integrated intelligent

Keywords： high-speed train     prognostics and health management     fault diagnosis and prediction     intelligent operation    

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

Qi-De LIN, Li-Hua QIU

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 275-279 doi: 10.1007/s11684-010-0101-y

Abstract: In the investigations of immunopathogenesis, diagnosis, and treatment of RSA since the late 1980s, itSystemic 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 diagnosisThe research achievement leads to great progress in the diagnosis and treatment of RSA in China.

Keywords： spontaneous abortion     recurrent     autoimmune     alloimmune     pathogenesis     diagnosis     immunotherapy    

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Title Author Date Type Operation

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

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

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

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Journal Article

Technology research and system development of diagnosis and service for intelligent power equipment in

Xu Guanghua,Liang Lin,Zhang Qing,Jing Minqing,Wen Guangrui,Gao Zhiyong,Jin Ying,Li Wenhai

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

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

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

Journal Article

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

Journal Article

Prognostics and Health Management of High-Speed Trains in China: Progress and Prospect

Wang Jun, Ding Rongjun

Journal Article

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

Qi-De LIN, Li-Hua QIU

Journal Article