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Inventi Impact: Soft Computing

Articles

  • Inventi:esc/29717/19
    Internal Combustion Engine Fault Identification Based on FBG Vibration Sensor and Support Vector Machines Algorithm
    Research 2019 : October - December
    Faye Zhang, Mingshun Jiang, Lei Zhang, Shaobo Ji, Qingmei Sui, Chenhui Su, Shanshan Lv

    State monitoring and fault diagnosis of an internal combustion engine are critical for complex machinery safety. In the present\nstudy, a high-frequency vibration system was proposed based on Fiber Bragg Grating (FBG) cantilever sensor and intelligent\nalgorithm. Structural vibration signal containing fault information of engine valves and oil nozzle was identified by FBG sensors\nand preprocessed using wavelet decomposition and reconstruction. Moreover, vibration energy was taken as fault characteristics......

    How to Cite this Article
    Attribution/ CC Compliant Citation: Zhang, Faye, et al.\n\"Internal Combustion Engine Fault Identification Based on\nFBG Vibration Sensor and Support Vector Machines\nAlgorithm.\" Mathematical Problems in Engineering 2019\n(2019).\nhttps://doi.org/10.1155/2019/8469868\nhttp://creativecommons.org/licenses/by/4.0/\n\nSome formatting elements, header, footer, logos, dates and\npagination were modified while adapting this article.
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