Semi-qualitative Temporal Episodes Prognosis for Process Supervision

نویسنده

  • C. Garcia-Beltran
چکیده

This paper deals with a prognosis method that is used in an operation support system. The role of prognosis in a supervisory system is analysed. Then, a supervision method based on trend analysis is explained. First the on line extraction of semi-qualitative episodes from a noisy signal is described. The method uses a segmentation algorithm, a classification of the segments into seven temporal shapes and a temporal aggregation of episodes. Discontinuities are preserved, which is important in case of failure. Then, the estimation of relevant variables future evolution is described, which is based on the last semi-qualitative episode. A two tanks system is used as a pedagogical example to illustrate the method potential. An industrial application is then described shortly. Copyright © 2005 IFAC

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis

Critically ill patients in regular wards are vulnerable to unanticipated adverse events which require prompt transfer to the intensive care unit (ICU). To allow for accurate prognosis of deteriorating patients, we develop a novel continuoustime probabilistic model for a monitored patient’s temporal sequence of physiological data. Our model captures “informatively sampled” patient episodes: the ...

متن کامل

A Semi-Supervised Approach for Kernel-Based Temporal Clustering

Temporal clustering refers to the partitioning of a time series into multiple nonoverlapping segments that belong to k temporal clusters, in such a way that segments in the same cluster are more similar to each other than to those in other clusters. Temporal clustering is a fundamental task in many fields, such as computer animation, computer vision, health care, and robotics. The applications ...

متن کامل

An Intelligent Alarm System Based on Temporal Episodes for Intensive Care Units

This paper presents an alarm system based on temporal episodes. A temporal episode is semi qualitative information that describes the signal trend. The system developed is a limit alarm system based on episodes extracted on line. It is able to recognize specific signal behaviours such as probe disconnection or steady state near the alarm limit threshold. The system is implemented to run on line...

متن کامل

A qualitative inquiry into the challenges and complexities of research supervision: viewpoints of postgraduate students and faculty members

INTRODUCTION The supervision of academic theses at the Universities of Medical Sciences is one of the most important issues with several challenges. The aim of the present study is to discover the nature of problems and challenges of thesis supervision in Iranian universities of medical sciences. METHODS The study was conducted with a qualitative method using conventional content analysis app...

متن کامل

Intelligent Process Supervision Using Renforcement Learning and Temporal Abstraction

Supervisory control usually involves timely switching among different courses of action over multiple time scales. In this work, intelligent process supervision is addressed in the context of semi-Markov decision processes and reinforcement learning. Temporally extended actions that represent a way of behaving together with a termination condition are used to achieve a set of operational goals/...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005