Automotive Remote Fault Diagnosis Using the Technology of Artificial Intelligent Neural Network

Abstract:

With the rapid development of automobile electronic technology, automotive interior structure and mutual communication relations are becoming increasingly complex; meanwhile,users’ requirements for timeliness and accuracy in automobile fault diagnosis are also getting higher, thus increasing the difficulty and uncertainty of automobile fault diagnosis process. The automobile fault clustering fusion system with artificial intelligent neural network as the core is established for fault diagnosis, which not only meets the requirement for timeliness, but also makes after-sale diagnosis service intelligent and user-friendly. This system will have a promising development in future.

• Periodical: Applied Mechanics and Materials (Volume 743)
• Pages: 623-628
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.743.623
• Online since: March 2015
• Authors: R.Q. Chen, J. Ding, F.M. Tang
• Keywords: Artificial Intelligent, Automobile Fault, Clustering Fusion, Neural Network, Remote Diagnosis

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DOI: 10.1109/3477.552190

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