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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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Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graphfor the differential diagnosis of dyspnea

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 488-497 doi: 10.1007/s11684-020-0762-0

Abstract: This pilot study aimed to develop a computer-aided tool for improving the efficiency of differential diagnosisDifferential diagnosis approaches were established and optimized by clinical experts.The artificial intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causality

Keywords： knowledge representation     uncertain     causality     graphical model     artificial intelligence     diagnosis     dyspnea    

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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:

Using modern information technology and artificial intelligence to achieve the condition based maintenanceThe 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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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 diagnosismodel for DSD was jointly constructed by experts on DSD and engineers of artificial intelligence.cases 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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Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Frontiers of Structural and Civil Engineering   Pages 1281-1294 doi: 10.1007/s11709-023-0975-9

Abstract: Subsequently, various indices for the damage diagnosis of concrete structures based on the curvatureA damage assessment method for concrete structures is established using an artificial bee colony backpropagation

Keywords： hydraulic structure     curvature mode     damage detection     artifical neural network     artificial bee colony    

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Applications of artificial intelligence in intelligent manufacturing: a review Review

Bo-hu LI,Bao-cun HOU,Wen-tao YU,Xiao-bing LU,Chun-wei YANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 86-96 doi: 10.1631/FITEE.1601885

Abstract: Based on research into the applications of artificial intelligence (AI) technology in the manufacturingWe then propose new models, means, and forms of intelligent manufacturing, intelligent manufacturingsystem architecture, and intelligent man-ufacturing technology system, based on the integration of AIdemonstration, the current development in intelligent manufacturing is discussed.Finally, suggestions for the appli-cation of AI in intelligent manufacturing in China are presented.

Keywords： Artificial intelligence     Intelligent manufacturing     Intelligent manufacturing system    

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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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Intelligent Drilling and Completion: A Review Review

Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,

Engineering 2022, Volume 18, Issue 11,   Pages 33-48 doi: 10.1016/j.eng.2022.07.014

Abstract:

The application of artificial intelligence (AI) has become inevitableIn recent years, numerous studies have focused on intelligent algorithms and their application.Additionally, in intelligent drilling and completion, methods for the fusion of data-driven and physicsbasedBased on intelligent application scenarios, this study comprehensively reviews the research status ofintelligent drilling and completion and discusses key research areas in the future.

Keywords： Intelligent drilling and completion     Artificial intelligence     Intelligent application scenarios     Literature    

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Intelligent Petroleum Engineering Perspective

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Engineering 2022, Volume 18, Issue 11,   Pages 27-32 doi: 10.1016/j.eng.2022.06.009

Abstract:

Data-driven approaches and AI algorithms are promising enough to be relied on even more than physics-based methods; their main feed is data which is the fundamental element of each phenomenon. These algorithms learn from data and unveil unseen patterns out of it. The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology. As the oil and gas industry is in the transition phase to oilfield digitization, there has been an increased drive to integrate data-driven modeling and machine learning algorithms in different petroleum engineering challenges. ML has been widely used in different areas of the industry. Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry; however, lack of two main features is noticeable. Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable. Attention must be given to data itself and the way it is classified and stored. Although there are sheer volumes of data coming from different disciplines, they reside in departmental silos and are not accessible by consumers. In order to derive as much insight as possible out of data, the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.
 

Keywords： Artificial intelligence     Machine learning     Intelligent reservoir engineering     Text mining     Intelligentgeoscience     Intelligent drilling engineering    

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Intelligent Products and Equipment Led by New-Generation Artificial Intelligence

Tan Jianrong, Liu Zhenyu, Xu Jinghua

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 35-43 doi: 10.15302/J-SSCAE-2018.04.007

Abstract:

Intelligent products and equipment is the value carrier, technologicalprerequisite and material base of intelligent manufacturing and service.The new-generation artificial intelligence endows traditional products with higher intelligence and injectsmanufacturing equipment, intelligent production, and intelligent management.the ten major fields of Made in China 2025 and macro policies such as the Three-Year Action Plan for Artificial

Keywords： intelligent products and equipment     knowledge engineering     intelligent state sensing     intelligent variationadaptation     intelligent knowledge learning     intelligent control decision    

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Research on Typical Application Scenarios and Standards System of Artificial Intelligence in Intelligent

Li Ruiqi, Wei Sha, Cheng Yuhang, Hou Baocui

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 112-117 doi: 10.15302/J-SSCAE-2018.04.018

Abstract:

In terms of the artificial intelligence (AI) application in intelligentmanufacturing, this paper analyzes the system realization form of intelligent manufacturing based onBased on the typical application scenarios of AI in intelligent manufacturing, this paper puts forwardthe application map of AI in intelligent manufacturing from the life cycle dimension, summarizes theFinally, this paper puts forward the standards system of AI in intelligent manufacturing.

Keywords： artificial intelligence     intelligent manufacturing     enterprise’s KPI     standardization    

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Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence Perspective

Tao Yang, Xinlei Yi, Shaowen Lu, Karl H. Johansson, Tianyou Chai

Engineering 2021, Volume 7, Issue 9,   Pages 1224-1230 doi: 10.1016/j.eng.2021.04.023

Abstract: characteristics and operation status of the process industry, as well as the development of the global intelligentmanufacturing industry, a new mode of intelligent manufacturing for the process industry, namely, deepintegration of industrial artificial intelligence and the Industrial Internet with the process industrya vision of an intelligent optimal decision-making system based on human–machine cooperation andan intelligent autonomous control system.

Keywords： Industrial artificial intelligence     Industrial Internet     Intelligent manufacturing     Process industry    

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AI Assisted Clinical Diagnosis & Treatment, and Development Strategy

Kong Ming,He Qianfeng and Li Lanjuan

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 86-91 doi: 10.15302/J-SSCAE-2018.02.013

Abstract:

The integration, open accessing of healthcare data, and the use of artificialinformation to merge national and widely-used clinical terminologies, which is key to realizing auxiliary diagnosisbased on ‘big data’ artificial intelligent.The second is the use of massive medical knowledge to construct an intelligent diagnosis and treatmentstrengthen the research and development of domestic medical devices, to promote the development of intelligent

Keywords： artificial intelligence     assisted diagnosis and treatment     knowledge graph     medical ontology     medical    

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Digital twin-enabled smart facility management: A bibliometric review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0254-4

Abstract: findings show that the current research of DT in FM focuses on building information modeling-based FM, artificialSeveral areas, such as AI-based real-time asset prognostics and health management, virtual-based intelligent

Keywords： digital twin     building information modeling     facility management     semantic interoperability     artificialintelligence     intelligent monitoring     autonomous control feedback    

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Title Author Date Type Operation

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graphfor the differential diagnosis of dyspnea

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Journal Article

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

Gao Jinji

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

Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Journal Article

Applications of artificial intelligence in intelligent manufacturing: a review

Bo-hu LI,Bao-cun HOU,Wen-tao YU,Xiao-bing LU,Chun-wei YANG

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

Intelligent Drilling and Completion: A Review

Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,

Journal Article

Intelligent Petroleum Engineering

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Journal Article

Intelligent Products and Equipment Led by New-Generation Artificial Intelligence

Tan Jianrong, Liu Zhenyu, Xu Jinghua

Journal Article

Research on Typical Application Scenarios and Standards System of Artificial Intelligence in Intelligent

Li Ruiqi, Wei Sha, Cheng Yuhang, Hou Baocui

Journal Article

Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence

Tao Yang, Xinlei Yi, Shaowen Lu, Karl H. Johansson, Tianyou Chai

Journal Article

AI Assisted Clinical Diagnosis & Treatment, and Development Strategy

Kong Ming,He Qianfeng and Li Lanjuan

Journal Article

Digital twin-enabled smart facility management: A bibliometric review

Journal Article