학술논문

Application of fuzzy fault tree analysis in the fault diagnosis for automobile engine system
Document Type
Conference
Source
2017 9th International Conference on Modelling, Identification and Control (ICMIC) Modelling, Identification and Control (ICMIC), 2017 9th International Conference on. :711-716 Jul, 2017
Subject
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Fuzzy Fault Tree
Automobile Engine
Fault Diagnosis
Occurrence probability
Minimal cut set
Language
Abstract
Fuzzy Fault tree analysis is one of important means for analysis of reliability and safety and fault diagnosis of the system. It features a strong logical and visual image. It is a reliable analysis method for both qualitative and quantitative analysis of the typical fault of a system and thus provides a theoretical basis for fault analysis processing and system design. This paper presents a fault tree analysis used in the analysis of fault mode for automobile engine system, builds the fault tree of common fault mode. Through the qualitative and quantitative analysis of fault tree, the causal relationship between the faults can be fully reflected, and the combination of the common fault mode for the system can be obtained. It can provide powerful technical support and decision basis for maintenance staff to improve the integrity of fault analysis, the accuracy of fault location and the timeliness of fault exclusion.