Artificial intelligence-driven vehicle fault diagnosis to revolutionize automotive maintenance: A review
Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence, there is a growing demand for advanced fault diagnosis technologies to mitigate the impact of these limitations on unplanned vehicular downtime cause...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tech Science Press
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42794/1/Artificial%20intelligence-driven%20vehicle%20fault%20diagnosis%20to%20revolutionize%20automotive%20maintenance.pdf http://umpir.ump.edu.my/id/eprint/42794/ https://doi.org/10.32604/cmes.2024.056022 https://doi.org/10.32604/cmes.2024.056022 |
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