Online train identification and speed estimation method based on optical fiber vibration signals

A fiber optic vibration and velocity estimation technology, which is applied in the direction of using devices to measure the time required to move a certain distance, electromagnetic wave reradiation, and radio wave measurement systems, can solve the problems of reducing algorithm accuracy and signal flooding, and achieve low cost Advantages, the effect of ensuring flexibility

Active Publication Date: 2019-02-19
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

For fault diagnosis with interference, the interference will inevitably lead to the transformation of the original fault identification problem into a nonlinear classifi

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  • Online train identification and speed estimation method based on optical fiber vibration signals
  • Online train identification and speed estimation method based on optical fiber vibration signals
  • Online train identification and speed estimation method based on optical fiber vibration signals

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Embodiment Construction

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] Such as figure 1 As shown, the online train identification and speed estimation algorithm based on optical fiber vibration signal of the present invention includes four steps of time-frequency transformation, online classification, model matching and online fitting, specifically as follows:

[0054] Step 1: Filter the time domain signal

[0055] Input: Raw fiber optic signal a i,j, where i is the serial number of the sampling point, j is the sampling time, the original optical fiber signal such as figure 2 shown

[0056] process:

[0057] Step 1: Set the weight coefficient σ 1 (0.5 in real test)

[0058] Step 2: a' i,j = σ 1 a i,j-1 +(1-σ 1 )a i,j , where j>1, a i,j-1 is the vibration signal collected at sampling point i at sampling time j

[0059] Output: time-domain signal matrix a′ that suppresses the influence of noise i,j

[0060] Step 2: Sh...

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Abstract

The invention discloses an online train identification and speed estimation method based on optical fiber vibration signals, and belongs to the field of the data-driven fault diagnosis. The method comprises the following steps of: (1) obtaining the eigenvalue energy entropy for data classification by short-time Fourier transform after performing smooth filtering on the fiber vibration signals collected by each sampling point; (2) classifying eigenvalue of each sampling point online to determine whether there is a suspected train signal after calculating a threshold offline by the unsupervisedlearning algorithm; (3) finding signals that satisfy a train characteristic model in the suspected train signals by modeling characteristics of the train; and (4) obtaining the real-time position andthe speed of the train by performing the improved global piecewise polynomial fitting on the train signals. According to the online train identification and speed estimation method based on optical fiber vibration signals, the problem of fault diagnosis and tracking for unlabeled data under an interference condition is solved based on the fiber vibration signals.

Description

technical field [0001] The invention relates to an online train identification and speed estimation method based on optical fiber vibration signals, belonging to the field of data-driven fault diagnosis. Background technique [0002] In recent years, with the rapid development of my country's high-speed rail business, the mileage of high-speed rail has continued to increase, and the safety protection along the railway has become a key issue that needs to be solved urgently. Dangerous or malicious acts such as illegally destroying or crossing the railway guardrail, placing foreign objects on the track, etc., will bury serious safety hazards for railway operations and cause huge losses to social public property. [0003] At this stage, in order to achieve intrusion detection, the commonly used methods include light wave detection, pulse electronic fence detection, vibration cable detection, vibration optical fiber detection, video intelligent analysis technology, etc. Among t...

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Application Information

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IPC IPC(8): G01H9/00G01P3/68
CPCG01H9/004G01P3/68
Inventor 何苏道陈复扬徐宁闫啸岳沙宇
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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