Grant: Applied Research and Development Grants - Level 3
Humber College Institute of Technology & Advanced Learning
$115,000.00
Automated Aircraft Maintenance Data Processing and Analytics
FY 2020-21
Summary
The industry partner for this NSERC ARD Grant is MHIRJ Aviation Group (https://mhirj.com, Mitsubishi Heavy Industries - Regional Jet, formerly Bombardier Inc. Regional Jet). MHIRJ provides comprehensive critical operational, engineering and customer support solutions for the global regional aircraft industry. MHIRJ needs applied research assistance from Humber College to address two complementary maintenance-related needs. The first need is for Automated Maintenance Data Processing system that will work with maintenance data submitted - in multiple formats and over varying intervals - by aircraft operators (airline companies). This data will be ingested, processed, analyzed, and outputted as databases for further analytics of the individual performance of aircraft in the individual fleets; as well as how the overall performance of individual fleets compare to an aggregated and anonymized view of the fleets of competing operators. The proposed solution can reduce significantly the time and effort required by MHIRJ personnel to administer and maintain the process. The automated data processing is not time critical as long as the output is available within 24 hours of data submission. The second need is for an Integrated Analytical Tool to assist ground maintenance crews in their critical and time-sensitive 'dispatchability' decision: 'go,' 'go with limitation,' and 'no go,' in a very narrow window of time between flights, based on real-time operational data from each flight. The design of the Integrated Analytic Tool will be based upon the same data processing and analytics algorithms developed for Automated Maintenance Data Processing. This will result in more consistent data interpretation, improved efficiency by aircraft maintenance crews, faster turn-around times of aircraft with improved safety. Humber College's applied research team will provide relevant expertise in textual data mining, language processing, machine learning, data analytics, and database design, to assist in developing software algorithms and tools necessary for the intended solutions. The project will improve the competitiveness for MIHRJ and establish a stronger collaboration between MHIRJ and Humber College.
Program
Applied Research and Development Grants - Level 3
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
560291-2020
Name nom
Morris, Raeshelle
Department département
Humber North Campus
Organization id
1662
Institution établissement
Humber College Institute of Technology & Advanced Learning
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
115000
Program id
CARD3
Program name en
Applied Research and Development Grants - Level 3
Program name fr
Subventions de recherche et développement appliquée - niveau 3
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2710
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information systems design
Research subject fr
Conception de systèmes d'information
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Automated Aircraft Maintenance Data Processing and Analytics
Keyword
NSERC
Application summary
The industry partner for this NSERC ARD Grant is MHIRJ Aviation Group (https://mhirj.com, Mitsubishi Heavy Industries - Regional Jet, formerly Bombardier Inc. Regional Jet). MHIRJ provides comprehensive critical operational, engineering and customer support solutions for the global regional aircraft industry. MHIRJ needs applied research assistance from Humber College to address two complementary maintenance-related needs. The first need is for Automated Maintenance Data Processing system that will work with maintenance data submitted - in multiple formats and over varying intervals - by aircraft operators (airline companies). This data will be ingested, processed, analyzed, and outputted as databases for further analytics of the individual performance of aircraft in the individual fleets; as well as how the overall performance of individual fleets compare to an aggregated and anonymized view of the fleets of competing operators. The proposed solution can reduce significantly the time and effort required by MHIRJ personnel to administer and maintain the process. The automated data processing is not time critical as long as the output is available within 24 hours of data submission. The second need is for an Integrated Analytical Tool to assist ground maintenance crews in their critical and time-sensitive 'dispatchability' decision: 'go,' 'go with limitation,' and 'no go,' in a very narrow window of time between flights, based on real-time operational data from each flight. The design of the Integrated Analytic Tool will be based upon the same data processing and analytics algorithms developed for Automated Maintenance Data Processing. This will result in more consistent data interpretation, improved efficiency by aircraft maintenance crews, faster turn-around times of aircraft with improved safety. Humber College's applied research team will provide relevant expertise in textual data mining, language processing, machine learning, data analytics, and database design, to assist in developing software algorithms and tools necessary for the intended solutions. The project will improve the competitiveness for MIHRJ and establish a stronger collaboration between MHIRJ and Humber College.