| چکیده انگلیسی مقاله |
Diagnose and analyzing in complex systems are two of most important challenges in today's business world. In processwith lots of components, Fault in each of them cause to fault in the main purpose so with the knowledge of the probability of failure of any component at each stage of the process, you can avoid the failure that this causes a dramatic reduction in costs. To this end, the proposed fault analysis method will be a useful tool for failure analysis process.In this study, to increase the reliability of detection and failure analysis system, a new hybrid approach based on methods of risk analysis and fuzzy cognitive map has been developed. In this new method, using fault tree analysis (FTA) System failures are detected,In this study, to increase the reliability of detection and failure analysis system, a new hybrid approach based on methods of risk analysis and fuzzy cognitive map has been developed. In this new method, by using fault tree analysis (FTA) System failures are detected, then the method ofFuzzy Failure mode and effects (FFMEA) Risk Priority Number for each failure is determined. According to the above method as a method of risk analysis, Fuzzy Cognitive Map (FCM) is made.In this study, to increase the reliability of detection and failure analysis system, a new hybrid approach based on methods of risk analysis and fuzzy cognitive map has been developed. In this new method, using fault tree analysis (FTA) System failures are detected, then the method of failure analysis and fuzzy (FFMEA) Risk priority number for each failure is determined. According to the above method as a method of risk analysis, fuzzy cognitive map (FCM) is made. The map created using two methods of inference, failures are prioritized based on the analysis of the system is done. In order to demonstrate the applicability of the proposed method, the procedure for failure analysis in the process of iron smelting electric arc furnace is used. The results indicate that factors such as defects in the communication cable, the card input and output forms, the central processing unit (CPU), input power, distribution systems and sensors for pressure, temperature and flow of the melt-off is most important in causing the failure. The results are based on different scenarios about the state of stopping the melt has been approved by experts. |
