PHM Decision Support under Uncertainty

Murat Yasar and Teems Lovett
Submission Type: 
Full Paper
AttachmentSizeTimestamp
phmc_16_033.pdf532.65 KBSeptember 2, 2016 - 9:30am

Decision support systems aims to improve the quality of services and help operators perform their duties faster, more accurately and more efficiently by providing an immense amount of knowledge. Advanced data mining and machine learning techniques are evolving rapidly. With the advent of “Big Data” technology and highly sophisticated data indexing, retrieval, clustering and classification processes, automated decision support has become an integral part of industrial, commercial and medical applications. Yet, the operator is still a significant source of both information and uncertainty in these applications. However, as human operators cannot convey their complete understanding of the situation to the system, decision support systems face the challenge of interpreting human intent based on operator inputs, which introduces a high level of uncertainty into the system. In this paper, a decision support system is used for determining system health status as a decision aid to the operator. The goal of this work is to supplement sensor data with human inputs in a health management environment while minimizing the effects of uncertainty and to provide situational awareness for the operator.

Publication Year: 
2016
Publication Volume: 
7
Publication Control Number: 
033
Page Count: 
7
Submission Keywords: 
decision support; human-machine interaction; mixed data; uncertainty management
Submission Topic Areas: 
Data-driven methods for fault detection, diagnosis, and prognosis
Submitted by: 
  
 
 
 

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