Authors :
Ayeshmi Samaradivakara
Volume/Issue :
Volume 8 - 2023, Issue 1 - January
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3jj4KDs
DOI :
https://doi.org/10.5281/zenodo.7578090
Abstract :
- Aircraft is one of the famous traveling mediums
to travel from one country to another. Aircraft can carry
more than 300 passengers on one trip. Many passengers
have died in airplane accidents in history. The leading
cause of these accidents is the internal and external defects
of the aircraft. Most errors can be early detected. With the
improvement of technology, there are many advanced
techniques that people have invented to automate fault
detection. Among them, artificial intelligence takes a
higher place than other techniques. Because these
techniques are straightforward to use and understand,
they save time and cost. This research paper discusses
existing solutions for aircraft fault detection using AI and
the techniques that they used in their research papers.
Additionally, proposing a new solution for aircraft fire
detection.
Keywords :
Artificial Intelligence, Deep Learning, Machine Learning
- Aircraft is one of the famous traveling mediums
to travel from one country to another. Aircraft can carry
more than 300 passengers on one trip. Many passengers
have died in airplane accidents in history. The leading
cause of these accidents is the internal and external defects
of the aircraft. Most errors can be early detected. With the
improvement of technology, there are many advanced
techniques that people have invented to automate fault
detection. Among them, artificial intelligence takes a
higher place than other techniques. Because these
techniques are straightforward to use and understand,
they save time and cost. This research paper discusses
existing solutions for aircraft fault detection using AI and
the techniques that they used in their research papers.
Additionally, proposing a new solution for aircraft fire
detection.
Keywords :
Artificial Intelligence, Deep Learning, Machine Learning