The measure of effect in an expert system for automatic generation of fault trees

1992 ◽  
Vol 41 (1) ◽  
pp. 57-62
Author(s):  
P. Huang ◽  
Z. Li
Keyword(s):  
Expert System ◽  
Automatic Generation ◽  
Fault Trees

General Fault Monitoring and Diagnosis Expert System Based on Fault Tree and Multi-Sensor Information

2011 ◽  
Vol 121-126 ◽  
pp. 4481-4485
Author(s):  
Ai Yu Zhang ◽  
Xiao Guang Zhao ◽  
Lei Zhang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Expert Knowledge ◽  
Sensor Failure ◽  
Fault Trees ◽  
Intelligent Algorithms ◽  
Monitoring And Diagnosis ◽  
Backward Reasoning ◽  
Fault Monitoring ◽  
Sensor Information

Due to the limited generality of traditional fault diagnosis expert system and its low accuracy of extracting failure symptoms, a general fault monitoring and diagnosis expert system has been built. For different devices, users can build fault trees in an interactive way and then the fault trees will be saved as expert knowledge. A variety of sensors are fixed to monitor the real-time condition of the device and intelligent algorithms such as wavelet transform and neural network are used to assist the extraction of failure symptoms. On the basis of integration of multi-sensor failure symptoms, the fault diagnosis is realized through forward and backward reasoning. The simulation diagnosis experiments of NC device have shown the effectiveness of the proposed method.

Automatic Fault Tree Generation From Multidisciplinary Dependency Models for Early Failure Propagation Assessment

2018 ◽  
Author(s):  
Nikolaos Papakonstantinou ◽  
Joonas Linnosmaa ◽  
Jarmo Alanen ◽  
Bryan O'Halloran
Keyword(s):  
Failure Modes ◽  
Cooling System ◽  
Fault Tree ◽  
System Engineering ◽  
Automatic Generation ◽  
Worst Case ◽  
Fault Trees ◽  
Starting Point ◽  
Failure Propagation ◽  
Event Trees

Safety engineering for complex systems is a very challenging task and the industry has a firm basis and trust on a set of established methods like the Probabilistic Risk Assessment (PRA). New methodologies for system engineering are being proposed by academia, some related to safety, but they have a limited chance for successful adoption by the safety industry unless they provide a clear connection and benefit in relation to the traditional methodologies. Model-Based System Engineering (MBSE) has produced multiple safety related applications. In past work system models were used to generate event trees, failure propagation scenarios and for early human reliability analyses. This paper extends previous work, on a high-level interdisciplinary system model for early defense in depth assessment, to support the automatic generation of fault tree statements for specific critical system components. These statements can then be combined into fault trees using software already utilized by the industry. The fault trees can then be linked to event trees in order to provide a more complete picture of an initiating event, the mitigating functions and critical components that are involved. The produced fault trees use a worst-case scenario approach by stating that if a dependency exists then the failure propagation is certain. Our proposed method doesn’t consider specific failure modes and related probabilities, a safety expert can use them as a starting point for further development. The methodology is demonstrated with a case study of a spent fuel pool cooling system of a nuclear plant.

Research on Power Expert System Technology Integrated Fault Tree Theory and Fuzzy Algorithm

2013 ◽  
Vol 427-429 ◽  
pp. 1402-1406
Author(s):  
Shu Yang ◽  
Zhi Bin Zang ◽  
Hang Wu ◽  
Qing Su He ◽  
Jin Hong He
Keyword(s):  
Expert System ◽  
Power System ◽  
Electric Power ◽  
Fault Tree ◽  
Automatic Generation ◽  
Electric Power System ◽  
Logic Function ◽  
Fuzzy Algorithm ◽  
Exception Reporting ◽  
Theory Research

The electric power system is a complex distributed system of large dimension, nonlinear, time-varying and uncertain dynamic parameters, the control and decision need expert experience, so the experts in electric power system as the control mechanism is relatively reasonable has been increasingly recognized. Automatic generation of state warning, exception reporting, monitoring of the equipment maintenance scheme and application of expert system. In this paper, by using the fault tree logic function description and fuzzy algorithm theory research of expert system based on expert system, so that the power has more accurate knowledge base and higher correctness of reasoning, in order to needs of production and operation of the power system to meet the better.

The Development and Research of the Automatic Generation of Expert System of Garment Cad Pattern

2012 ◽  
Vol 452-453 ◽  
pp. 421-425
Author(s):  
Li Na Yang ◽  
Pu Hong Li
Keyword(s):  
Sustainable Development ◽  
Expert System ◽  
Automatic Generation ◽  
Garment Industry ◽  
Design Concept ◽  
Design Tools ◽  
Pattern Design ◽  
Constant Practice

The development and research of the automatic generation of expert system of Garment Cad Pattern will change the traditional garment pattern design concept and design tools to enable advanced CAD technology and expertise in China's garment industry work together, which will greatly improve the level of the software sustainable development and intellectualization. It will be proved through constant practice to help improve the professional level of the garment pattern CAD software, create new ways of professional popularization and application which are suitable for China's national conditions.

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