Grant: Collaborative Research and Development Grants
Lakehead University
$50,000.00
Remote health condition monitoring of water pump systems
EF 2019-20
Résumé
Water pumps are widely used in industries such as water supply, oil, chemistry, power generation, agriculture, and mining. Any pump element defect could result in pump performance degradation or unexpected shutdowns. The objective of this NSERC-CRD research, in collaboration with the Bare Point Water Treatment Plant in Thunder Bay, Ontario, is to develop new technologies and intelligent tools for remote pump station condition monitoring. It aims to improve operation reliability and reduce maintenance costs by preventing unnecessary machine downtimes. To achieve this goal, advanced research and development will be undertaken in multidisciplinary academic fields including machinery modeling, signal processing, artificial intelligence, machine learning, and mechatronics. Specifically, a new wireless smart sensor network will be developed for data acquisition in forms of such as vibration, electric current and temperature. New signal processing techniques will be proposed for fault detection in pump motors (bearings and rotors) and pump line shaft systems. Comprehensive assessment will be undertaken, experimentally and analytically, to evaluate the robustness of available motor fault detection techniques. A new intelligent classifier will be developed to integrate the strength of several robust fault detection techniques for fault diagnosis of motors and pumps. A smart monitoring platform and a cloud computing protocol will be developed for remote condition monitoring of pump stations. The contributions from this multidisciplinary research will enhance Canada's profile in the global academic community in the related fields. It is also foreseen that the developed technologies and tools can benefit wide array of Canadian industries (e.g., aircraft, nuclear reactors, chemical facilities) to avoid equipment damage, and prevent human injury and environment pollution. In addition, the proposed technologies and tools can be used in health science for human health diagnostics and prognostics.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
537683-2018
Name nom
Wang, Wilson
Department département
Mechanical Engineering
Organization id
25
Institution établissement
Lakehead University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
50000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
516
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Mechanical machinery, heavy equipment (including farm, forestry, and construction equipment)
Area of application fr
Machinerie mécanique, machinerie lourde (y compris machinerie agricole, forestière, de construction)
Research subject code
2109
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical systems and instrumentation
Research subject fr
Instrumentation et systèmes mécaniques
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Remote health condition monitoring of water pump systems
Keyword
NSERC
Application summary
Water pumps are widely used in industries such as water supply, oil, chemistry, power generation, agriculture, and mining. Any pump element defect could result in pump performance degradation or unexpected shutdowns. The objective of this NSERC-CRD research, in collaboration with the Bare Point Water Treatment Plant in Thunder Bay, Ontario, is to develop new technologies and intelligent tools for remote pump station condition monitoring. It aims to improve operation reliability and reduce maintenance costs by preventing unnecessary machine downtimes. To achieve this goal, advanced research and development will be undertaken in multidisciplinary academic fields including machinery modeling, signal processing, artificial intelligence, machine learning, and mechatronics. Specifically, a new wireless smart sensor network will be developed for data acquisition in forms of such as vibration, electric current and temperature. New signal processing techniques will be proposed for fault detection in pump motors (bearings and rotors) and pump line shaft systems. Comprehensive assessment will be undertaken, experimentally and analytically, to evaluate the robustness of available motor fault detection techniques. A new intelligent classifier will be developed to integrate the strength of several robust fault detection techniques for fault diagnosis of motors and pumps. A smart monitoring platform and a cloud computing protocol will be developed for remote condition monitoring of pump stations. The contributions from this multidisciplinary research will enhance Canada's profile in the global academic community in the related fields. It is also foreseen that the developed technologies and tools can benefit wide array of Canadian industries (e.g., aircraft, nuclear reactors, chemical facilities) to avoid equipment damage, and prevent human injury and environment pollution. In addition, the proposed technologies and tools can be used in health science for human health diagnostics and prognostics.
