An expert system for real-time fault diagnosis of complex chemical processes

According to the lack of simple, backward and low precision in fault diagnosis on hydraulic power cart for aircraft, an efficient vehicle fault diagnosis system on hydraulic power cart for aircraft is developed based on embedded technology. This system can identify the cause of the faults quickly and accurately according to the data collected in the spot and real-time analysis using expert system, the results show it greatly improves the efficiency and accuracy of fault diagnosis on hydraulic power cart for aircraft.

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A multi-scale convolutional neural network based fault diagnosis model for complex chemical processes

Process Safety and Environmental Protection ◽

10.1016/j.psep.2021.11.020 ◽

2021 ◽

Author(s):

Qiusheng Song ◽

Peng Jiang ◽

Song Zheng ◽

Jun Liu ◽

Huan Xu

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Chemical Processes ◽

Complex Chemical ◽

Multi Scale ◽

Diagnosis Model

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Research on Computer Network Fault Diagnosis Mechanism Based on VXI

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.687-691.2967 ◽

2014 ◽

Vol 687-691 ◽

pp. 2967-2970

Author(s):

Tao Guo ◽

Zheng Qi Liu

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Real Time ◽

High Speed ◽

Computer Network ◽

Data Communication ◽

Failure Diagnosis ◽

Test Board ◽

High Speed Data ◽

Network Fault

For the problems of wear real-time, compatibility and intelligence, we have designed computer network test and failure diagnosis system based on VXI bus technology. The hardware and software of the system have been improved. To implement real time, high speed data communication and transmission, the functions of VXI test board have been extended. The degree of intelligence and automatization has been improved through introducing expert system in the design of software. These will provide new references for improvement of existing test and diagnosis systems of computer network equipments.

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SIMPREBAL: An expert system for real-time fault diagnosis of hydrogenerators machinery

2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010) ◽

10.1109/etfa.2010.5641302 ◽

2010 ◽

Cited By ~ 4

Author(s):

Edgar J Amaya ◽

Alberto J Alvares

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Real Time

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