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Optical fiber sensing vibration signal mode recognition method based on AdaBoost-ESN algorithm

A vibration signal, pattern recognition technology, applied in character and pattern recognition, calculation, computer parts and other directions, can solve the problems of bottlenecks in classification accuracy, the recognition rate needs to be improved, and the recognition process is complicated, and achieves the improvement of classification accuracy and methods. Simple, solve the effect of artificial limitations

Active Publication Date: 2020-05-29
TIANJIN UNIV
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Problems solved by technology

Since this type of algorithm needs to extract the features of the signal, there is no method that can completely cover all the features of the signal, which leads to the loss of signal information, and errors when it is sent to the classifier, which leads to a bottleneck in the classification accuracy, and the identification process is more complicated. needs improvement

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  • Optical fiber sensing vibration signal mode recognition method based on AdaBoost-ESN algorithm
  • Optical fiber sensing vibration signal mode recognition method based on AdaBoost-ESN algorithm

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Embodiment Construction

[0018] The technical solutions of the present invention will be further elaborated below in conjunction with specific implementation examples and accompanying drawings.

[0019] The first step is to collect vibration signals to build a data set: build an optical fiber sensing system, set a reasonable sampling rate, collect vibration signals of four types of events, label the event types, and normalize the vibration signals as raw data set.

[0020] Build a distributed fiber grating sensing system, use 980nm laser diode to emit pumping laser, pass through 980 / 1550nm wavelength division multiplexer, enter the erbium-doped fiber laser sensor, connect the sensing fiber, 1550nm wave passes through the tunable filter After passing through the wavelength division multiplexer, the optical isolator, the loop to the sensing fiber, the 1550 outlet is connected to the oscilloscope to display the output signal through the photodetector, and the computer collects and stores it. Set 4 types...

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Abstract

The invention relates to an optical fiber sensing vibration signal mode recognition method based on an AdaBoost-ESN algorithm. The method comprises the following steps: collecting vibration signals toconstruct a data set; constructing a pattern recognition network of an AdaBoost-ESN algorithm; classifying the vibration signals of a plurality of known events; the method comprises the following steps: firstly, constructing an ESN basic classifier by using an echo state network; a basic classification result is obtained by training and identifying samples, then an AdaBoost iterative framework isadopted to calculate classification error samples of an ESN basic classifier, the weight of the classification error samples is improved, a next ESN basic classifier is constructed, and after multiple iterations, a final strong classifier is output in a centralized mode.

Description

technical field [0001] The invention relates to the field of identification of optical fiber sensing vibration signals, in particular to an event classification and identification method for optical fiber sensing vibration signals based on the AdaBoost-ESN algorithm. [0002] technical background [0003] In recent years, due to its high sensitivity and high precision, the optical fiber sensing system has been widely used in the detection and positioning of scene vibration signals, such as the detection and effective early warning of vibration sources of oil pipelines and bad intrusions of perimeter security. . The optical fiber sensing early warning system OFPS can monitor the gas pipeline and its surrounding environment in real time, as well as the vibration of the fiber optic fence. The focus of safety detection is to detect and identify different types of vibration signals accurately, efficiently, and in real time, and to take corresponding measures for different types o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/08G06F2218/12G06F18/2148G06F18/241
Inventor 吕辰刚樊丽会马敬敬霍紫强
Owner TIANJIN UNIV
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