⟡ Team leader:  Prof. Xianguang Kong

⟡ Team members

⟡ Team introduction

There are 25 teachers, 8 consultants, 11 doctoral students, and over 70 postgraduates in the team, forming a team with the integration of disciplines of machinery, mathematics, computer, management and with the integrated technologies such as digitization, reliability, health management, simulation, statistical analysis, big data, and AI. Many projects have been undertaken, including national scientific and technological high-end equipment special projects, big data special projects of National Development and Reform Commission, national industrial internet platform special projects, intelligent manufacturing projects of the Ministry of Industry and Information Technology, and the overall planning, innovation and international exchange and cooperation special projects of the Ministry of Education, State Administration of Science, Technology and Industry for National Defense, Equipment Development Department of the Central Military Commission, NSFC, and the Province, and so on., and provincial science and technology progress award, provincial teaching achievement awardhave been awarded. And over 40 authorized and accepted patents and nearly 20 software copyrights have been obtained.

The team has established Shaanxi Electronic Equipment Virtual Simulation Experiment Teaching Center, Shaanxi Postgraduate Joint Education Demonstration Workstation (Xidian - Shanghai Aerospace Precision Machinery Research Institute Reliability and Virtual Simulation Talent Training Demonstration Workstation), Xidian - 800 Reliability Test and Simulation Joint Laboratory, Xidian - Kansas State University Quality Big Data Joint Technology Research Center, Xidian - Unigroup Cloud Engine Industrial Internet and Industrial Big Data Joint R&D Center, Xidian - Dingyi Rail Transit & Industrial Big Data Joint Laboratory, Xidian - CREG Shield Big Data Joint Technology Research Center, and cooperates closely with IMS, a world famous industrial big data organization. The center actively carries out industry-university-research cooperation and has established close cooperation relationships with over 10 units such as CASC the 800th Research Institute, Air Force Equipment Academy, China Railway First Group, China XD Group, ZTE, CASC the 15th Research Institute, CETC 29th Research Institute, CETC 27th Research Institute, CETC Shenzhen Kaifa Technology, Xi'an Aero-engine(Group) Ltd. (430 plant), Siemens, Shaanxi Blower, Unisplendour, NetEase, and H3C. It has participated in the First Industrial Big Data Innovation Competition sponsored by the China Academy of Information and Communications Technology and Aliyun - Tianchi Industrial Big Data Competition, and achieved good results.

Centering on the major military and civilian needs of the national intelligent manufacturing and Made in China 2025, the center is gradually applying the intelligent manufacturing achievements to fields such as aerospace, electronic appliances, intelligent manufacturing of high-end equipment, and intelligent building of urban underground space engineering to promote China's industrial transformation and upgrading and train new engineering and interdisciplinary talents. And it is committed to industry-university-research achievement transformation and becoming an influential Research Center of Intelligent Manufacturing & Industrial Big Data in China.

⟡ Talents, important achievements and awards

1.    Expert with special State Council allowances and expert with outstanding contributions in Shaanxi Province: YuanyingQiu

2.    Huashan Scholar chair professor and distinguished professor of University of Cincinnati, the United States: Jie Li

3.    Part-time professor and Deputy Director of CASC the 800th Research Institute ZhongquanLi

4.    Part-time professor and General Manager of Xidian Research Institute: Pengju Kang

5.    Part-time professor and professor and doctoral supervisor of Xi'an Jiaotong University: Junping Wang

6.    Committee member of Shaanxi Intelligent Manufacturing Expert Committee, council member of Shaanxi Big Data and Cloud Computing Innovation Alliance, committee member of Shaanxi Information Technology Standardization Technical Committee, committee member of Shaanxi Military-Civilian Integration Association, expert of Shaanxi industrial big data planning, expert of China Railway First Group, consultant of NetEase industrial internet and industrial big data, and leading talent of Zhejiang modern service industry: Xianguang Kong

7.    Second Prize of National Science and Technology Progress Award: research on electromechanical comprehensive optimization and precision control of full performance and full system oriented antenna structure

8.    Second Prize of National Science and Technology Progress Award: integrated design and application of electromagnetic, structure and control of reflector antenna

9.    Second Prize of Shaanxi Science and Technology Progress Award: endurance test system and key technologies of wing hydraulic pipelines of larger planes under the dynamic large deformation service environment

10.  Major national scientific and technological high-end equipment special projects: research on the reliability evaluation of complete sets of manufacturing equipment of aerospace, industrial big data research targeted at the demonstration line of precision forming equipment for aerospace complex thin-walled light alloy components, demonstration of the application of domestic high-end CNC equipment and key manufacturing technologies of aerospace titanium alloy components, key complete sets of equipment and process for the manufacture of carrier rocket body structure, and the large-scale demonstration and application of domestic five-axis CNC machine tools and CNC systems for carrier rockets

11.  Big data special projects of National Development and Reform Commission: urban underground space engineering big data intelligent analysis and public service platform building, which is one of the first batch of 38 projects supported by the state, the only one in Shaanxi Province, and the 2017 Good Design Gold Award was awarded.

12.  Intelligent manufacturing projects of the Ministry of Industry and Information Technology: quality big data analysis system, quality big data standard and verification, intelligent factory simulation standard

13.  Projects of the Ministry of Education: big data analysis and coordinated management research of discrete manufacturing industry based on the industrial internet, and the innovative application technology research of industrial big data

14.  State Administration of Science, Technology and Industry for National Defense, National Natural Science Foundation of China: research on key technologies of high acceleration screening test of XX mechanical and electronic products, multipoint excitation vibration test system modeling and software platform development, and research on key technologies of XX multi-axis vibration stress screening test

15.  Equipment Development Department of the Central Military Commission: research on the electro-mechanical equipment acceleration test technology under multiple stress conditions

16.  Science and technology projects of Shaanxi Province: research, development and demonstration of test detection service platform for the power transmission and distribution equipment manufacturing industry, "test detection cloud" for the power transmission and distribution equipment manufacturing industry, quality big data analysis system, and analysis and exploration of data of influencing factors of switchgear operational failures (defects)

⟡ Main research areas

1.   Reliability evaluation and PHM technology of intelligent products (equipment) based on big data

Aiming at problems such as the single reliability calculation and evaluation means of traditional equipment and the inconsistency of experience curves and actual situations, the reliability evaluation technology of intelligent products (equipment) based on big data is researched to form the calculation models and evaluation methods of multi-dimensional component level/system level functions and performances; aiming at problems such as the PHM's reliance on single signal processing, the non-fusion of physical models and data models, the PHM technology of intelligent products (equipment) based on big data is researched to form the analysis models and calculation methods of the analysis, status monitoring, health evaluation, failure prediction, etc. of influencing factors of failure. The reliability evaluation and PHM fusion technology is further researched to form a unique big data analysis technology of intelligent products (equipment).

2.   Quality big data analysis technology for intelligent manufacturing

In the face of the massive heterogeneous data of "man, machine, material, method, mother nature and measurement", etc. in the intelligent manufacturing, and the fact that the traditional quality management mean cannot meet the real-time, dynamic and predictive analysis needs and so on, the quality traceability analysis of influencing factors, optimal process parameter optimization and recommendation, quality problem prediction and early warning, quality trend and yield prediction, quality control threshold optimization, etc. are researched to form the production line level, workshop level, factory level, and group level quality big data analysis models to provide support for the application of big data to improve quality by electronic appliance, national defense and military industries.

3.   Theories and methods of production line operational reliability evaluation based on industrial big data

Firstly, process and reconstruct the reliability big data of the production lines to form a high-quality reliability data package.Secondly, study equipment operational reliability modeling and analysis methods and establish dynamic real-time equipment reliability analysis models through the application of big data analysis technology and deep learning technology.Finally, driven by big data, carry out in-depth exploration of the correlation between product quality indicator and reliability indicator and combine the two indicators into the reliability evaluation indicator, and complete the reliability comprehensive evaluation of the production lines for product quality and verify it in enterprises to provide reliability theoretical basis and evaluation method support for the high efficiency and reliable operation of the production lines and better meet the high process stability and high reliability manufacturing requirements of the production lines under the intelligent manufacturing.

4.   Multiple stress environment and reliability test big data analysis technology

Aiming at the accurate understanding and effective control requirements of weapon equipment test systems, carry out test technology research based on big data analysis and virtual simulation, master technologies of sensor layout and data transmission and storage, intelligent exploration of algorithms, etc., achieve the multiple source test data integration, analysis and monitoring, and establish a multiple stress test comprehensive platform based on test big data analysis methods to provide new theories and technologies for the multiple stress environment and reliability test of model products.

5.   Industrial big data analysis technology for the full life cycle, industrial chain, and cross-industrial chain of products

Centering on the data of the research and development, process, manufacturing, test and use and so on of the full life cycle of products, research the cross-phase closed-loop big data analysis technology for a certain topic; focusing on industrial chain data of enterprise suppliers, customers, etc., research supply chain optimization, customer portraits, supplier evaluation, and other big data analysis technology to form an industrial cloud map; focusing on cross-border data of industry and finance, security, meteorology, commerce, etc., research enterprise credit evaluation, safety supervision, personalized customization, and other cross-border analysis technologies.

6.   Shield construction big data analysis technology for intelligent building

The development of China's underground space engineering (such as metros, and utility tunnels) is rapid. Aiming at the industrial urgent requirements of difficult effective prediction of underground shield construction risks, incapable dynamic control of quality, difficult equipment health management, etc., carry out the research on the underground shield construction big data analysis technology, and break through the key technologies of underground shield construction data evolution law, shield equipment health management, bad ground sedimentation prediction, abnormal working condition early warning, axis correction analysis, segment assembly evaluation, etc. to provide basic theories and application technologies for the application of big data in intelligent building.

7.   Multi-modal fusion based industrial big data analysis platform

It is the in-depth fusion of knowledge, business process, mechanism modeling, physical modeling, signal processing, statistical analysis, machine learning, etc. in the research and development field that supports multiple computing platforms of historical data, real-time data, and mixed data, and it is the industrial big data modeling tool that implements descriptive analysis, prescriptive analysis, diagnostic analysis, predictive analysis, and guiding analysis. It can intelligently perceive the actual operation state data and establish a simulation model of multiple working conditions and scenarios, and drive the evolution and modification of operation simulation models based on in-depth learning, thus achieving the real-time simulation through reflection between virtual resources and real resources.

8.   CPS system construction and analysis methods based on digital twin

Focusing on the issues of information fragmentation of the existing digital platform, difficult interaction between heterogeneous models, unclear digital chain evolution mechanism, difficult cognitive computing, etc., research the digital twin design technologies in research and development, manufacturing, operation and maintenance, test, construction, and other links, and establish business process synchronous high approximation mapping, provide the value transfer evolution mechanism of the digital chain, research the interoperability modeling specifications of heterogeneous objects, and construct a virtual-real mapping CPS system. Carry out the unit level, system level, and SOS level big data analysis method research based on the CPS system, provide CPS application systems for equipment, individuals, groups, and industrial chain scenarios.

9.   Industrial big data analysis method based on AI

In the face of multiple source heterogeneous data of industrial structured data, time series data, image data, video data, sound data, log files, and so on, construct the industry level AI algorithms and AI chips, and research the fusion analysis and verification methods of multiple source heterogeneous data to provide theoretical support for the application of AI technology in industrial big data analysis and provide technical support for CPS system's development towards the triple intelligent systems of machine intelligence, man-machine coordinated intelligence, etc.

10. Mechanical CAD/CAE/CAM

Combine traditional mechanical design and mechanical analysis with advanced computer design and analysis software, and carry out modeling, simulation, analysis, optimization and verification for the scientific research and engineering technical issues of design, analysis and optimization in the mechanical engineering field. Relevant technologies match the advanced digital design and manufacturing work of the research institutes and manufacturers.

Fig.1      Bay section automatic docking measurement prototype system

Fig. 2     Circuit board modeling and thermal vibration coupling simulation

11.        Mechatronics

It places emphasis on the dynamic analysis and motion control of mechanical systems. And it carries out in-depth theoretical research and model experiments in robot kinematics, dynamics and control, and other aspects. Relevant technologies can be applied in the motion control of parallel mechanisms, and intelligent robot processing and assembly.

Fig. 3     Endurance test system of wing hydraulic pipelines of larger planes under the dynamic large deformation

⟡ Doctor/Master Admissions (please refer to the Admissions Information for details)