TY - GEN
T1 - Gaussian Model Approach for Identifying Car Engine Malfunctions Based on Embedded Sound System
AU - Mahadika, Farhan Chandra
AU - Prasetio, Barlian Henryranu
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/10/24
Y1 - 2023/10/24
N2 - One important aspect for car owners is to maintain their vehicles in optimal and well-maintained condition. This includes tasks such as regular oil changes and system inspections. It is crucial for car owners to periodically maintain their vehicles through recommended manufacturer services. By relying solely on scheduled maintenance, it is possible that cars can provide indications of malfunction through engine sounds, which, if ignored without the owner's knowledge, can have negative consequences. Therefore, the identification of car engine issues using deep learning is essential for owners to receive early warnings of malfunctioning vehicles. Hence, the focus is on identifying car malfunctions based on engine sounds, utilizing MFCC and GMM for classifying normal and abnormal engine sounds. Consequently, a practical system is developed that can be implemented using the Raspberry Pi 3 B+ minicomputer.
AB - One important aspect for car owners is to maintain their vehicles in optimal and well-maintained condition. This includes tasks such as regular oil changes and system inspections. It is crucial for car owners to periodically maintain their vehicles through recommended manufacturer services. By relying solely on scheduled maintenance, it is possible that cars can provide indications of malfunction through engine sounds, which, if ignored without the owner's knowledge, can have negative consequences. Therefore, the identification of car engine issues using deep learning is essential for owners to receive early warnings of malfunctioning vehicles. Hence, the focus is on identifying car malfunctions based on engine sounds, utilizing MFCC and GMM for classifying normal and abnormal engine sounds. Consequently, a practical system is developed that can be implemented using the Raspberry Pi 3 B+ minicomputer.
KW - Car Engine
KW - Embedded System
KW - GMM
KW - Malfunctions
KW - MFCC
KW - Raspberry Pi
KW - Sound
UR - https://www.scopus.com/pages/publications/85182397824
U2 - 10.1145/3626641.3626678
DO - 10.1145/3626641.3626678
M3 - Conference contribution
AN - SCOPUS:85182397824
T3 - ACM International Conference Proceeding Series
SP - 545
EP - 550
BT - SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology
PB - Association for Computing Machinery
T2 - 8th International Conference on Sustainable Information Engineering and Technology, SIET 2023
Y2 - 24 October 2023 through 25 October 2023
ER -