Výsledky vyhledávání - "Essam Seddik"

Fault Detection and Diagnosis of Engine Spark Plugs Using Deep Learning Techniques

Autor: Essam Seddik, Jimi Tjong, Saeid Habibi, Alan Wassyng, Yixin Huangfu

Publikováno v: SAE International Journal of Engines. 15:515-525

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04a7de49f721048164b950cfba710e9d
https://doi.org/10.4271/03-15-04-0027

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Machine Learning-Based Fault Detection and Diagnosis of Internal Combustion Engines Using an Optical Crank Angle Encoder

Autor: Hosna Geraei, Essam Seddik, Ghabi Neame, Elliot (Yixin) Huangfu, Saeid Habibi

Publikováno v: ASME 2022 ICE Forward Conference.

Fault Detection and Diagnosis (FDD) in internal combustion engines is an important tool for better performance, safety, reliability, and instrument to reduce maintenance costs. Early detection of engine faults can help avoid abnormal event progressio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc5a39eed8c8811d7b2a25de390302c1
https://doi.org/10.1115/icef2022-88851

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