Abstract
Power line inspection serves the purpose of fault finding and regular maintenance strategy, which are critical functions from an operational perspective. Modern computational intelligence, decreased cost in processing and communication components provides the opportunity to automate these inspections with the aim of adopting a predictive maintenance strategy. This paper deals with the design of a Power Line Tracking Unmanned Arial Vehicle. The literature review focuses on the navigation of the PLTUAV and selects the GPS, Gyroscope, and Accelerometer with correction mechanism done through Kalman filtering. The details of the overall system design and each of the subsystems are presented. Preliminary test results and analysis of the subsystems are also given.
| Original language | English |
|---|---|
| Pages (from-to) | 945-957 |
| Number of pages | 13 |
| Journal | Proceedings of the International Conference on Industrial Engineering and Operations Management |
| Volume | 2018 |
| Issue number | NOV |
| Publication status | Published - 2018 |
| Event | Proceedings of the International Conference on Industrial Engineering and Operations Management Pretoria, IEOM 2018 - Duration: 29 Oct 2018 → 1 Nov 2018 |
Keywords
- Power Line Inspection
- Power Line Tracking Unmanned Arial Vehicle (PLTUAV)
- Predictive Maintenance
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Control and Systems Engineering
- Industrial and Manufacturing Engineering