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June 2011


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Fri, 17 Jun 2011 15:28:37 -0600
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Keywords:  Alarm systems; false and missed alarms, alarm floods, 
chattering and nuisance alarms; fault detection and isolation

*Alarm Systems: Quantitative Analysis and Design*

  A workshop on alarm systems analysis and design will be offered at the 
IFAC World Congress in Milan, Italy as part of their pre-conference 
workshop program.

Date of workshop:28 August 2011

For more information go 

*Workshop objectives: *Overview of new quantitative methods for analysis 
and design of industrial alarm systems as an emerging research area, 
targeting academic researchers and industrial practitioners involved in 
alarm management.

*Abstract: *Detection of a fault in an industrial plant often results in 
an alarm to inform the operator. Development of distributed control 
systems (DCS) has made it easy to add many alarms at no costs. This has 
caused a substantial increase in the number of alarms configured in a 
plant (usually in the range of tens of thousands). Consequently, plant 
operators receive far more alarms than they can handle on a normal 
basis. Industries reportedly lose millions of dollars every year due to 
alarm problems. As a result, there has recently been an increasing 
interest in industry to address this issue and seek remedies to reduce 
the number of false and nuisance alarms. This workshop is intended to 
introduce this emerging research topic to the control community 
(industry and academia alike) and present many recently developed 
quantitative methods on analysis and design of alarm systems.


Topics to be covered in this workshop will be divided into four sessions 
(each lasting one-and-half hours each) in this workshop. More details 
appear below:

*Introduction to Alarm Systems*

Alarm systems and process monitoring; Historical incidents; False and 
nuisance alarms; Alarm standards; Alarm systems life cycle; Alarm 
rationalization; Current status of alarm systems; How to deal with 
information resources (alarm data, process data, connectivity data).

*Alarm Data: Representation, Analysis and Visualization*

Introduction to alarm data; Graphical representation; High density alarm 
plots; Alarm correlation color map; Run-length distributions; Alarm 

*Process Data: Optimal Alarm Design*

Introduction to process data; Alarm design trade-offs: how to minimize 
false and missed alarms; ROC curve; Filtering, Deadbands; Delay-timers; 
Optimal design framework; Detection delays.

*Connectivity Data and Process Knowledge*

Introduction to process connectivity information and process knowledge; 
Representation of connectivity data; Signed directed graphs; Process 
modeling and alarm design; Introduction to alarm floods; Analysis of 
alarm floods.

*Organizers and Speakers*

Dr. Iman Izadi, Honeywell and University of Alberta, Canada

Prof. Tongwen Chen, Department of Electrical and Computer Engineering, 
University of Alberta, Canada

Prof. Sirish L. Shah, Department of Chemical and Materials Engineering, 
University of Alberta, Canada