Automotive fault diagnosis based on the fuzzy mathematics
Advanced Materials Research, ISSN: 1022-6680, Vol: 898, Page: 859-862
2014
- 1Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
- CrossRef1
Conference Paper Description
Automobile fault diagnosis is one of the hot issues in detection and diagnosis technology of automobile. The automobile fault has the characteristics of uncertainty and complexity problems. To solve the problems of qualitative description from drivers into quantitative, fuzzy mathematics is introduced. In addition, the fuzzy relationship of automobile fault and fault causes is expressed by setting the membership functions and fuzzy relation matrix. Finally, the qualitative analysis of real cases is present. The fuzzy theory and expert system for automobile fault diagnosis method is proved accurately through the algorithm analysis and real cases. © (2014) Trans Tech Publications, Switzerland.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84896375454&origin=inward; http://dx.doi.org/10.4028/www.scientific.net/amr.898.859; https://www.scientific.net/AMR.898.859; https://www.scientific.net/AMR.898.859.pdf; http://www.scientific.net/AMR.898.859; http://www.scientific.net/AMR.898.859.pdf; https://dx.doi.org/10.4028/www.scientific.net/amr.898.859
Trans Tech Publications, Ltd.
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