Internal Combustion Engine Fault Identification Based on FBG Vibration Sensor and Support Vector Machines Algorithm
State monitoring and fault diagnosis of an internal combustion engine are critical for complex machinery safety. In the present study, a high-frequency vibration system was proposed based on Fiber Bragg Grating (FBG) cantilever sensor and intelligent algorithm. Structural vibration signal containing...
Main Authors: | Faye Zhang, Mingshun Jiang, Lei Zhang, Shaobo Ji, Qingmei Sui, Chenhui Su, Shanshan Lv |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/8469868 |
Similar Items
-
Phase Difference-3D Coordinate Mapping Model of Structural Light Imaging System Based on Extreme Learning Machine Network
by: Shanshan Lv, et al.
Published: (2020-01-01) -
Research on FBG-Based CFRP Structural Damage Identification Using BP Neural Network
by: Xiangyi Geng, et al.
Published: (2018-03-01) -
Development of an FBG Sensor Array for Multi-Impact Source Localization on CFRP Structures
by: Mingshun Jiang, et al.
Published: (2016-10-01) -
Phase Demodulation Method for Fringe Projection Measurement Based on Improved Variable-Frequency Coded Patterns
by: Shanshan Lv, et al.
Published: (2021-06-01) -
Direct Observation of Monolayer MoS<sub>2</sub> Prepared by CVD Using In-Situ Differential Reflectance Spectroscopy
by: Yina Wang, et al.
Published: (2019-11-01)