Engineering Machinery Engine System Reliability Analysis

Xiao Nan Zhang; An Xin Liu; Qing Zhen Gao; Xing Qing; Xing Chang

doi:10.4028/www.scientific.net/AMR.139-141.2587

Paper Titles

Rolling Bearing Fault Diagnosis Based on AIS
p.2569

Curvature Mode Characteristics of the Simple Beam with a Local Damaged Crack
p.2574

One Method to Determine the Optimal Maintenance Time Based on Selective Attrition
p.2578

A Method of Simulating Computation for the Fatigue Life Prediction
p.2582

Engineering Machinery Engine System Reliability Analysis
p.2587

Study on the Method of Multi-Rope Hoist Rope Tension Imbalance Fault Monitoring and Diagnosis
p.2591

Monitoring of Drilling Tool Condition through Spindle Current
p.2595

Supervised Locally Linear Embedding for Fault Diagnosis
p.2599

Research on Rotating Machinery Vibration Fault Based on Support Vector Machine
p.2603

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Engineering Machinery Engine System Reliability Analysis

Abstract:

It exists in complexity and fuzziness in structure and failure character of engineering machinery complex system. To solve the problem, fuzzy theory was introduced into fault tree analysis, and then the steps, principles and methods of fuzzy fault tree are determined. Based on the analysis of engineering machinery typical engine systemic structure and fault criterion, a fuzzy fault tree is established. Used a fuzzy mathematics method of reliability analysis with fuzzy fault rate and the median method of fuzzy significance analysis, the fuzzy fault rate and fuzzy significance of parts and subsystems is calculated. The result indicates that this method can solve the fuzziness problem of failure criterion and data in fault tree analysis. The result provides valuable reference for the reliability analysis.