Grant: Strategic Projects - Group
University of Alberta
$148,600.00
Development of an advanced technology for alarm analysis and design
FY 2010-11
Summary
This strategic project application is to develop, evaluate, and apply an advanced technology for more efficient operation and management of industrial alarm systems.
Industrial accidents often have devastating consequences; moreover, they cost billions of dollars annually in production loss due to unplanned shutdowns, equipment damages, and performance degradations. To meet the desired measures of safety, quality, and efficiency, thousands of variables are constantly monitored in a typical modern industrial plant so that faults and abnormal situations can be promptly detected and appropriate remedies be applied. Detection of a fault usually results in an alarm being raised to inform an operator about the unexpected situation. It takes an operator about 10 minutes on average to process and respond appropriately to an alarm. Therefore, industry standards suggest that an operator should not receive more than six alarms per hour during the normal operation. This is, however, rarely the case in practice as the number of alarms each operator receives is far more than the standard. A majority of these alarms are false and nuisance alarms that
only distract the operator from the operation of the plant and can also mask important alarms.
There exist strong industrial needs and economic benefits for better interpreting and managing the alarms, and redesigning the alarm systems to reduce false and nuisance alarms, and increase the alarm accuracy. This proposal outlines a new research area for complex alarm systems based on digital signal processing and statistic analysis, with research topics ranging from alarm performance measures, alarm signal processing, multivariate alarm analysis and design, automated alarm rationalization, to industrial applications. The tools to be developed have the potential for improving safety in operation and therefore reducing the maintenance costs for the participating partners, as well as various Canadian industrial sectors in general.
Program
Strategic Projects - Group
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
381152-2009
Name nom
Chen, Tongwen
Department département
Electrical and Computer Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2009
Award amount
148600
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1046
Committee name en
Strategic Projects Selection Panel - Safety and Security
Committee name fr
Comité de sélection des projets stratégiques - Sécurité
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
2514
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Digital signal processing
Research subject fr
Traitement des signaux numériques
Partie
2
Nb partie
3
Application title
Development of an advanced technology for alarm analysis and design
Keyword
NSERC
Application summary
This strategic project application is to develop, evaluate, and apply an advanced technology for more efficient operation and management of industrial alarm systems.
Industrial accidents often have devastating consequences; moreover, they cost billions of dollars annually in production loss due to unplanned shutdowns, equipment damages, and performance degradations. To meet the desired measures of safety, quality, and efficiency, thousands of variables are constantly monitored in a typical modern industrial plant so that faults and abnormal situations can be promptly detected and appropriate remedies be applied. Detection of a fault usually results in an alarm being raised to inform an operator about the unexpected situation. It takes an operator about 10 minutes on average to process and respond appropriately to an alarm. Therefore, industry standards suggest that an operator should not receive more than six alarms per hour during the normal operation. This is, however, rarely the case in practice as the number of alarms each operator receives is far more than the standard. A majority of these alarms are false and nuisance alarms that
only distract the operator from the operation of the plant and can also mask important alarms.
There exist strong industrial needs and economic benefits for better interpreting and managing the alarms, and redesigning the alarm systems to reduce false and nuisance alarms, and increase the alarm accuracy. This proposal outlines a new research area for complex alarm systems based on digital signal processing and statistic analysis, with research topics ranging from alarm performance measures, alarm signal processing, multivariate alarm analysis and design, automated alarm rationalization, to industrial applications. The tools to be developed have the potential for improving safety in operation and therefore reducing the maintenance costs for the participating partners, as well as various Canadian industrial sectors in general.