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Permanent link (DOI): https://doi.org/10.7939/R3H70856C

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Alarm System Design Using Rank Order Filters Open Access

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Other title
Subject/Keyword
Alarm System Design
False and Missed Alarm Rates
Rank Order Filters
Expected Detection Delay
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Azad, Ishtiza I
Supervisor and department
Chen, Tongwen (Department of Electrical and Computer Engineering)
Examining committee member and department
Li, Zukui (Department of Chemical and Materials Engineering)
Tavakoli, Mahdi (Department of Electrical and Computer Engineering)
Department
Department of Electrical and Computer Engineering
Specialization
Control Systems
Date accepted
2015-09-25T10:38:22Z
Graduation date
2015-11
Degree
Master of Science
Degree level
Master's
Abstract
In the process industry, process variables are continuously monitored to ensure safety, reliability and efficiency of plant operations. Due to the advancement of the modern communication and computer technology, it is now possible to incorporate alarms to every process variable at little or no cost. As a result, operators are flooded with too many alarms beyond their capacity to respond accordingly. Many of these alarms are false or nuisance alarms. Therefore, an efficient and dependable alarm system is needed for greater safety and productivity. Motivated by this, this thesis focuses on the application of a class of nonlinear filters, namely rank order filters, on process data and develops quantitative relationship among filter parameters and alarm performance indices. In industries, filtering is a widely used alarm design technique. Moving average filters are most commonly applied filters in the industry because of their simplicity and ease of implementation. However, nonlinear filters have not been able to draw industrial attention due to nonlinearity and unknown relationship with alarm performance indices. Hence, we investigated the applicability of rank order filters and compared the performance with moving average filters under different input distributions. We established analytical relationships between filter order with different ranks and detection delay. Then we proposed a method to design filter order meeting the performance requirements. We obtained significant improvements in terms of reducing false and missed alarm rates and detection delay by applying rank order filters. The performance curve of a rank order filter lies between the performance curves of the moving average filter and the general optimal filter with the corresponding order. In the end, all the theoretical development and design techniques have been validated through numerical simulation and some industrial case study.
Language
English
DOI
doi:10.7939/R3H70856C
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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