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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: Research on machinery Fault diagnostics has grown rapidly in recent years.four main aspects: Fault mechanism, sensor technique and signal acquisition, signal processing, and intelligentdiagnostics.The review discusses the special contributions of Chinese scholars to machinery fault diagnostics.

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

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Strategic Research on the Molecular Diagnostics Industry in China

Xie Lan,Liu Ran,Feng Juan,Xing Wanli and Cheng Jing

Strategic Study of CAE 2017, Volume 19, Issue 2, Pages 29-36 doi: 10.15302/J-SSCAE-2017.02.005

Abstract:

Molecular diagnostics is an important part of personalized medicine andhas become the main driving force of the in vitro diagnostics industry.In recent years, China's molecular diagnostics industry has been growing rapidly, despite its smallThe aim of this study is to explore the characteristics of the domestic molecular diagnostics industryThis analysis is of great significance for promoting the development of China’s molecular diagnostics

Keywords： molecular diagnostics in vitro diagnostics market analysis policies and regulations biochip

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Modelling and diagnostics of multiple cathodes plasma torch system for plasma spraying

Kirsten BOBZIN, Nazlim BAGCIVAN, Lidong ZHAO, Ivica PETKOVIC, Jochen SCHEIN, Karsten HARTZ-BEHREND, Stefan KIRNER, José-Luis MARQUéS, Günter FORSTER

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 3, Pages 324-331 doi: 10.1007/s11465-011-0125-2

Abstract:

Usage of a multiple-arcs system has significantly improved process stability and coating properties in air plasma spraying. However, there are still demands on understanding and controlling the physical process to determine process conditions for reproducible coating quality and homogeneity of coating microstructure. The main goal of this work is the application of numerical simulation for the prediction of the temperature profiles at the torch outlet for real process conditions. Behaviour of the gas flow and electric arcs were described in a three-dimensional numerical model. The calculated results showed the characteristic triangular temperature distribution at the torch nozzle outlet caused by three electric arcs. These results were compared with experimentally determined temperature distributions, which were obtained with specially developed computed tomography equipment for reconstructing the emissivity and temperature distribution of the plasma jet close to the torch exit. The calculated results related to temperature values and contours were verified for the most process parameters with experimental ones.

Keywords： plasma spraying electric arc three-cathode plasma torch numerical simulation computed tomography

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Nucleic acid-based diagnostics for infectious diseases in public health affairs

Albert Cheung-Hoi Yu, Greg Vatcher, Xin Yue, Yan Dong, Mao Hua Li, Patrick H. K. Tam, Parker Y.L. Tsang, April K.Y. Wong, Michael H.K. Hui, Bin Yang, Hao Tang, Lok-Ting Lau

Frontiers of Medicine 2012, Volume 6, Issue 2, Pages 173-186 doi: 10.1007/s11684-012-0195-5

Abstract: Many kinds of diagnostics have been developed, such as pathogen culture, biochemical tests and serologicalNucleic acid-based diagnostics, detecting pathogens through the identification of their genomic sequencesHere we review some of the most popular nucleic acid-based diagnostics and focus on their adaptabilityWe also compare and contrast the characteristics of different types of nucleic acid-based diagnostics

Keywords： nucleic acid-based diagnostics infectious disease PCR NASBA LAMP microarray LOAC public health affairs

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Novel X-ray and Optical Diagnostics for Studying Energetic Materials: A Review Review

Yiyang Zhang, Sen Chen, Yang Cai, Lei Lu, Duan Fan, Jinchun Shi, Junyu Huang, Sheng-Nian Luo

Engineering 2020, Volume 6, Issue 9, Pages 992-1005 doi: 10.1016/j.eng.2020.06.019

Abstract: acquiring new data, and understanding underlying mechanisms all require temporally and spatially resolved diagnosticsHere, we present a brief review of novel diagnostics that are either emerging or have existed but rarely

Keywords： Energetic materials X-ray Terahertz and optical diagnostics Multiscale measurements

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The research progress of laser combustion diagnostics techniques and applications

Hu Zhiyun,Liu Jingru,Zhang Zhenrong,Ye Jingfeng,Guan Xiaowei,Zhang Lirong,Wang Sheng,Huang Meisheng,Zhao Xinyan,Ye Xisheng

Strategic Study of CAE 2009, Volume 11, Issue 11, Pages 45-50

Abstract:

This paper overviewed recent progress in the evolution of four different diagnostic concepts: coherent anti-stokes Raman spectroscopy, laser-induced fluorescence, vibrational Raman scattering, and hydroxyl tagging velocimetry. Techniques based on these measurement concepts can monitor a variety of parameters including temperature, species concentration, and velocity. The experimental results were given by these laser-based methods in premixed flame, solid propellant burning, and supersonic flowfields.

Keywords： laser combustion diagnostics propellant supersonic flowfield

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Energetic Materials: Novel Syntheses and Diagnostics

Sheng-Nian Luo, Michael Gozin

Engineering 2020, Volume 6, Issue 9, Pages 974-975 doi: 10.1016/j.eng.2020.07.002

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Development Strategy of Intelligent Ship Engineering Technology

Lang Shuyan, Zeng Xiaoguang, Zhang Min

Strategic Study of CAE 2019, Volume 21, Issue 6, Pages 27-32 doi: 10.15302/J-SSCAE-2019.06.005

Abstract:

With the rapid development of emerging technologies, intelligent shipIn this study, we introduced the technical classification of intelligent ships, summarized the currentdevelopment status of intelligent ship technology in China and abroad, studied the characteristics ofFurthermore, we suggest that China should pay equal attention to R & D and application of the intelligent

Keywords： ship intelligention intelligent ship technology intelligent ship

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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 intelligent products and equipment refers to two dialectical aspects: on the one hand, commercializationof intelligent technology, turning intelligence technology into products, which is mainly reflectedmanufacturing equipment, intelligent production, and intelligent management.

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

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New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 238-247 doi: 10.1007/s42524-019-0062-z

Abstract: Intelligent knowledge management emphasizes human–machine integration, which combines the advantagesThus, we proposed a new technology foresight method based on intelligent knowledge management.

Keywords： technology foresight intelligent knowledge management technological online platform

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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 30-35

Abstract:

Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticorganically synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligentThe results are highly promising and show that the operation speed, precision and stability of intelligent

Keywords： fuzzy optimal selection BP neural network genetic algorithm intelligent forecasting mode mid and longterm intelligent hydrological forecasting

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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 Manufacturing of Special Equipment Based on Intelligent Connection

Liu Sanjiang, Chen Zuzhi, Shi Kun, Li Guanghai

Strategic Study of CAE 2020, Volume 22, Issue 6, Pages 143-150 doi: 10.15302/J-SSCAE-2020.06.019

Abstract: Implementing intelligent manufacturing in the special equipment field could facilitate the transformation, intelligent quality management, and real-time monitoring of dynamic risks.Based on this, intelligent connection is introduced as a technology path for developing intelligent manufacturingof special equipment, and the concept of intelligent connection is further analyzed.equipment and developing intelligent applications.

Keywords： special equipment intelligent manufacturing intelligent connection parallel development

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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: In 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 physicsbasedmodels, few-sample learning, uncertainty modeling, and the interpretability and transferability of intelligentBased 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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Tool path strategy and cutting process monitoring in intelligent machining

Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2, Pages 232-242 doi: 10.1007/s11465-018-0469-y

Abstract:

Intelligent machining is a current focus in advanced manufacturing technology, and is characterizedA central technology of intelligent machining—the cutting process online monitoring and optimizationmachining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligentResults show that intelligent tool path optimization and cutting process online monitoring are efficient

Keywords： intelligent machining tool path strategy process optimization online monitoring

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Title Author Date Type Operation

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

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Journal Article

Strategic Research on the Molecular Diagnostics Industry in China

Xie Lan,Liu Ran,Feng Juan,Xing Wanli and Cheng Jing

Journal Article

Modelling and diagnostics of multiple cathodes plasma torch system for plasma spraying

Kirsten BOBZIN, Nazlim BAGCIVAN, Lidong ZHAO, Ivica PETKOVIC, Jochen SCHEIN, Karsten HARTZ-BEHREND, Stefan KIRNER, José-Luis MARQUéS, Günter FORSTER

Journal Article

Nucleic acid-based diagnostics for infectious diseases in public health affairs

Albert Cheung-Hoi Yu, Greg Vatcher, Xin Yue, Yan Dong, Mao Hua Li, Patrick H. K. Tam, Parker Y.L. Tsang, April K.Y. Wong, Michael H.K. Hui, Bin Yang, Hao Tang, Lok-Ting Lau

Journal Article

Novel X-ray and Optical Diagnostics for Studying Energetic Materials: A Review

Yiyang Zhang, Sen Chen, Yang Cai, Lei Lu, Duan Fan, Jinchun Shi, Junyu Huang, Sheng-Nian Luo

Journal Article

The research progress of laser combustion diagnostics techniques and applications

Hu Zhiyun,Liu Jingru,Zhang Zhenrong,Ye Jingfeng,Guan Xiaowei,Zhang Lirong,Wang Sheng,Huang Meisheng,Zhao Xinyan,Ye Xisheng

Journal Article

Energetic Materials: Novel Syntheses and Diagnostics

Sheng-Nian Luo, Michael Gozin

Journal Article

Development Strategy of Intelligent Ship Engineering Technology

Lang Shuyan, Zeng Xiaoguang, Zhang Min