Paper Info
Title
A modified profust-performance-reliability algorithm and its application to dynamic systems.
Abstract
In the field of system health monitoring, system performance degradation or fault occurrence will decrease the system reliability to some degree. However, traditional reliability analysis is of limited usefulness in evaluating the reliability of an individual product under dynamic operating and environmental conditions. In this case, research on performance reliability as well as real-time reliability has attracted extensive attentions. Considering the characteristics of fuzzy reliability theory, a performance reliability based on profust reliability theory has its advantage on tracking system's continuous degradation. On the basis of our previous work, this paper proposes a modified profust-performance-reliability (PPR) algorithm as a supplement to the profust reliability based approach to prognostics and health management. In the modified PPR algorithm, the item of transition probability among system's multi-states is replaced with the real-time distribution of system's health status, which achieves an easier implementation of PPR's calculation in practice with higher real-time capability and accuracy. Then, its application in the performance evaluation and prediction of dynamic systems are comprehensively proposed. Finally, a simulation of a quadrotor with partial loss of actuator effectiveness is presented to validate the availability and effectiveness of the proposed method.
Year
DOI
Venue
2017
10.3233/JIFS-152544
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Profust reliability,performance reliability,system degradation,health monitoring,quadrotor
Artificial intelligence,Mathematics,Dynamical system,Machine learning
Journal
Volume
Issue
ISSN
32
1
1064-1246
Citations 
PageRank 
References 
1
0.35
11
Authors
3
Name
Order
Citations
PageRank
Zhiyao Zhao1165.45
Quan Quan27017.08
Kai-Yuan Cai31332121.70