Decision-Making Model and Evaluation Architecture for Intelligent Fault Diagnosis

Yan Ling Han; Shou Qi Cao

doi:10.4028/www.scientific.net/AMR.33-37.1155

Paper Titles

Stability Analysis of Earth Dam under Unsaturated Seepage
p.1129

Study on Uncertainty and Criterion in Model Optimization of Coupled THM Simulation
p.1135

Intelligent Monitoring Technique for Working Status of Shenzhen Citizen Center Roof Truss Structure under Wind Load
p.1141

Investigation of Simplified Integrated Model for Soil-Pile Dynamic Interaction System
p.1149

Decision-Making Model and Evaluation Architecture for Intelligent Fault Diagnosis
p.1155

Three-Dimensional Elastoplastic Deformation Analysis Coupled With Oil Flow for Perforation Tunnels of an Oilwell
p.1163

Static and Dynamic Analysis of Wind Turbine Tower Structure
p.1169

Design and Penetration Performance of Annular Shaped Charge Structure
p.1175

Acoustic Emission Signals in the Micro-EDM of PCD
p.1181

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 33-37Decision-Making Model and Evaluation Architecture...

Decision-Making Model and Evaluation Architecture for Intelligent Fault Diagnosis

Abstract:

Diagnosis decision-making and evaluation analysis is two closely-related contents in the process of intelligent fault diagnosis, correct decision-making could be made only based on objective and fair evaluation. This paper brought up decision-making objective and corresponding decision-making model for intelligent fault diagnosis, and gave its evaluation indicator architecture. Combining grey correlative analysis with hierarchical analysis method, multi-hierarchy grey correlative analysis was brought forward to apply into intelligent fault diagnosis, its principle, algorithm and evaluation execution process were researched deeply, and finally the analysis sample was given.