A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable Tests
This paper considers the sequential fault diagnosis problem with unreliable tests which exist widely in practice. This problem involves real-time inference of the most likely set of failure sources, i.e., fault state, based on unreliable test outcomes. The purpose of this paper is to optimize test s...
Main Authors: | Yajun Liang, Mingqing Xiao, Xiaofei Wang, Xilang Tang, Haizhen Zhu, Jianfeng Li |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8721636/ |
Similar Items
-
Sequential-Fault Diagnosis Strategy for High-Speed Train Traction Systems Based on Unreliable Tests
by: Mengwei Li, et al.
Published: (2023-07-01) -
Decentralized Coordination of Multi-Agent Systems Based on POMDPs and Consensus for Active Perception
by: Marijana Peti, et al.
Published: (2023-01-01) -
Optimal Sequential Diagnostic Strategy Generation Considering Test Placement Cost for Multimode Systems
by: Shigang Zhang, et al.
Published: (2015-10-01) -
A Joint Distribution-Based Testability Metric Estimation Model for Unreliable Tests
by: Xuerong Ye, et al.
Published: (2018-01-01) -
Improved Deep Recurrent Q-Network of POMDPs for Automated Penetration Testing
by: Yue Zhang, et al.
Published: (2022-10-01)