Grant: Engage Grants Program
University of Western Ontario
$10,795.00
Time-Frequency technique for early water leaks detection
EF 2015-16
Résumé
A number of techniques have been used in attempt to improve safety and reliability of steel making process via early water vapor increase detection. Most of these techniques rely either on the neural network approach or classical detection algorithms, which heavily rely either on availability of training sets or well known statistical properties of detected signals. Neither of these techniques could be considered as satisfactory and a number of new approaches are required. The goal of this proposal is the preliminary investigation of time-frequency abnormality detection techniques and the organization of distributed learning and detection systems.
Programme
Engage Grants Program
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
478417-2015
Name nom
Primak, Serguei
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
10795
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
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
1
Nb partie
1
Application title
Time-Frequency technique for early water leaks detection
Keyword
NSERC
Application summary
A number of techniques have been used in attempt to improve safety and reliability of steel making process via early water vapor increase detection. Most of these techniques rely either on the neural network approach or classical detection algorithms, which heavily rely either on availability of training sets or well known statistical properties of detected signals. Neither of these techniques could be considered as satisfactory and a number of new approaches are required. The goal of this proposal is the preliminary investigation of time-frequency abnormality detection techniques and the organization of distributed learning and detection systems.
