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Open AccessArticle

Ensemble Learning with Stochastic Configuration Network for Noisy Optical Fiber Vibration Signal Recognition

School of Information Science and Technology, North China University of Technology, Beijing 100144, China
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Sensors 2019, 19(15), 3293; https://doi.org/10.3390/s19153293
Received: 20 June 2019 / Revised: 19 July 2019 / Accepted: 24 July 2019 / Published: 26 July 2019
(This article belongs to the Section Optical Sensors)
Optical fiber pre-warning systems (OFPS) based on Φ-OTDR are applied to many different scenarios such as oil and gas pipeline protection. The recognition of fiber vibration signals is one of the most important parts of this system. According to the characteristics of small sample set, we choose stochastic configuration network (SCN) for recognition. However, due to the interference of environmental and mechanical noise, the recognition effect of vibration signals will be affected. In order to study the effect of noise on signal recognition performance, we recognize noisy optical fiber vibration signals, which superimposed analog white Gaussian noise, white uniform noise, Rayleigh distributed noise, and exponentially distributed noise. Meanwhile, bootstrap sampling (bagging) and AdaBoost ensemble learning methods are combined with original SCN, and Bootstrap-SCN, AdaBoost-SCN, and AdaBoost-Bootstrap-SCN are proposed and compared for noisy signals recognition. Results show that: (1) the recognition rates of two classifiers combined with AdaBoost are higher than the other two methods over the entire noise range; (2) the recognition for noisy signals of AdaBoost-Bootstrap-SCN is better than other methods in recognition of noisy signals. View Full-Text
Keywords: noisy optical fiber vibration signal recognition; optical fiber pre-warning system; stochastic configuration network; bootstrap sampling; AdaBoost noisy optical fiber vibration signal recognition; optical fiber pre-warning system; stochastic configuration network; bootstrap sampling; AdaBoost
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Qu, H.; Feng, T.; Zhang, Y.; Wang, Y. Ensemble Learning with Stochastic Configuration Network for Noisy Optical Fiber Vibration Signal Recognition. Sensors 2019, 19, 3293.

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