An ensemble deep learning model for vehicular engine health prediction

• Main Authors: Joseph Chukwudi, Isinka, Zaman, Nafees, Abdur Rahim, Md, Arafatur Rahman, Md, Alenazi, Mohammed J.F., Pillai, Prashant
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://umpir.ump.edu.my/id/eprint/42955/1/An%20ensemble%20deep%20learning%20model%20for%20vehicular%20engine%20health%20prediction.pdf; http://umpir.ump.edu.my/id/eprint/42955/; https://doi.org/10.1109/ACCESS.2024.3395927; https://doi.org/10.1109/ACCESS.2024.3395927

Predictive maintenance has gained importance across various industries, including the automotive sector. It is very challenging to detect vehicle failures in advance due to the intricate composition of various components and sensors. The vehicle's reliability is of utmost importance for ensurin...