Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit

• Main Authors: Rahim, Md. Abdur, Rahman, Md Mustafizur, Islam, Md. Shofiqul, Md. Muzahid, Abu Jafar, Rahman, Md. Arafatur, D., Ramasamy
• Format: Article
• Language: English; English
• Published: Elsevier 2024
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/42480/1/Deep%20learning-based%20vehicular%20engine%20health%20monitoring%20system_ABST.pdf; http://umpir.ump.edu.my/id/eprint/42480/2/Deep%20learning-based%20vehicular%20engine%20health%20monitoring%20system.pdf; http://umpir.ump.edu.my/id/eprint/42480/; https://doi.org/10.1016/j.eswa.2024.125080; https://doi.org/10.1016/j.eswa.2024.125080

Vehicles play a pivotal role in the current era of Industry 4.0 by providing passengers with excellent mobility, comfort, and safety while strengthening national and international economies. Unanticipated vehicular engine issues can hinder performance and lead to costly maintenance. As analytics pro...