Predictive maintenance system for aircraft engine using Azure
The shift towards electric aircrafts from mechanical aircrafts has enabled the use of portable electrical devices to predict when to conduct maintenance services for the aircrafts. Previous research has primarily relied on faster troubleshooting to reduce the downtime of the aircrafts and thus, unab...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/148986 |
| _version_ | 1826115119385411584 |
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| author | Tan, Cleona Yin Xuan |
| author2 | Soong Boon Hee |
| author_facet | Soong Boon Hee Tan, Cleona Yin Xuan |
| author_sort | Tan, Cleona Yin Xuan |
| collection | NTU |
| description | The shift towards electric aircrafts from mechanical aircrafts has enabled the use of portable electrical devices to predict when to conduct maintenance services for the aircrafts. Previous research has primarily relied on faster troubleshooting to reduce the downtime of the aircrafts and thus, unable to allow aircrafts to be operationally available during such unnecessary downtime for troubleshooting.
This project used cheap and portable micro-controller (B-L475E-IOT01A) which will be attached to an aircraft and obtain health parameters through Azure Cloud services while the aircraft is still operationally available. Analysation of such health parameters will then predict the time to hold maintenance services without affecting the operational availability of the aircrafts.
This project was successful in programming B-L475E-IOT01A in STM32IDE to obtain and illustrate health parameters in Azure IoT Central for analysation. The flexibility of the program also allows the addition of features to enhance its ability to obtain health parameters. |
| first_indexed | 2024-10-01T03:50:20Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/148986 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:50:20Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1489862021-05-21T13:14:40Z Predictive maintenance system for aircraft engine using Azure Tan, Cleona Yin Xuan Soong Boon Hee School of Electrical and Electronic Engineering EBHSOONG@ntu.edu.sg Engineering::Electrical and electronic engineering The shift towards electric aircrafts from mechanical aircrafts has enabled the use of portable electrical devices to predict when to conduct maintenance services for the aircrafts. Previous research has primarily relied on faster troubleshooting to reduce the downtime of the aircrafts and thus, unable to allow aircrafts to be operationally available during such unnecessary downtime for troubleshooting. This project used cheap and portable micro-controller (B-L475E-IOT01A) which will be attached to an aircraft and obtain health parameters through Azure Cloud services while the aircraft is still operationally available. Analysation of such health parameters will then predict the time to hold maintenance services without affecting the operational availability of the aircrafts. This project was successful in programming B-L475E-IOT01A in STM32IDE to obtain and illustrate health parameters in Azure IoT Central for analysation. The flexibility of the program also allows the addition of features to enhance its ability to obtain health parameters. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-21T13:14:40Z 2021-05-21T13:14:40Z 2021 Final Year Project (FYP) Tan, C. Y. X. (2021). Predictive maintenance system for aircraft engine using Azure. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148986 https://hdl.handle.net/10356/148986 en application/msword Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Tan, Cleona Yin Xuan Predictive maintenance system for aircraft engine using Azure |
| title | Predictive maintenance system for aircraft engine using Azure |
| title_full | Predictive maintenance system for aircraft engine using Azure |
| title_fullStr | Predictive maintenance system for aircraft engine using Azure |
| title_full_unstemmed | Predictive maintenance system for aircraft engine using Azure |
| title_short | Predictive maintenance system for aircraft engine using Azure |
| title_sort | predictive maintenance system for aircraft engine using azure |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/148986 |
| work_keys_str_mv | AT tancleonayinxuan predictivemaintenancesystemforaircraftengineusingazure |