Patent ID: 11892345
Assignee: NEUBREX, CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for detecting and specifying a vibration on the basis of a feature of a fiber-optic signal to determine a time and a spatial location, comprising:
Step 1 of acquiring a feature-expanded function vector and C-number of vibration categories by expanding a feature of initial data of a vibration signal from a distributed fiber-optic sensor;
Step 2 of calculating a dimensionality reduction matrix based on the feature-expanded function vector;
Step 3 of acquiring a dimensionality-reduced feature function by operating the dimensionality reduction matrix to the initial data and the feature-expanded function vector;
Step 4 of acquiring a primary classification result of the vibration signal by performing a classification with reference to a primary classification parameter acquired from a parameter database; and
Step 5 of acquiring and outputting a secondary classification result of the vibration signal by performing removal of a wrong detection result and correction of a wrong classification result of the primary classification result, wherein
Step 2 includes:
Sub-step 21 of collecting a training sample set represented by the following Equation 1 for vibration category c;
Sub-step 22 of calculating, for each vibration category, a center of a cluster represented by the following Equation 2, a variance within the cluster represented by the following Equation 3, a sum of variances within clusters represented by the following Equation 4, a center of all the data represented by the following Equation 5, and a variance between clusters represented by the following Equation 6; and
Sub-step 23 of calculating a feature value of a matrix represented by the following Equation 7, decomposing the matrix, acquiring Q-number of maximum feature values and corresponding feature vectors, and composing the dimensionality reduction matrix by using columns of the feature vectors,, Training
      ⁢
         
      sample
      ⁢
         
      set
      : 
      
       {
       
        
         g
         1
         
          (
          c
          )
         
        
        ,
        
         g
         2
         
          (
          c
          )
         
        
        ,
        …
           
        ,
        
         g
         
          K
          c
         
         
          (
          c
          )
         
        
       
       }
      
     
     ,
    
   
   
    
     (
     
      Equation
      ⁢
         
      1
     
     ), where, in Equation 1, gk(c) denotes a k-th training sample in vibration category c,, Center
       ⁢
          
       of
       ⁢
          
       a
       ⁢
          
       cluster
       : 
       
        
         g
         ¯
        
        
         (
         c
         )
        
       
      
      =
      
       
        1
        
         K
         c
        
       
       ⁢
       
        
         ∑
          
        
        
         k
         =
         1
        
        
         K
         c
        
       
       ⁢
       
        g
        K
        
         (
         c
         )
        
       
      
     
     ,
    
   
   
    
     (
     
      Equation
      ⁢
         
      2
     
     ), where, in Equation 2, Kc denotes the number of training samples in the category c,, Variance
     ⁢
        
     within
     ⁢
        
     the
     ⁢
       
     cluster
     : 
    
   
   
    
     (
     
      Equation
      ⁢
         
      3
     
     )
    
   
  
 

 
  
   
    S
    
     (
     c
     )
    
   
   =
   
    
     
      ∑
       
     
     
      k
      =
      1
     
     
      K
      c
     
    
    ⁢
    
     (
     
      
       g
       k
       
        (
        c
        )
       
      
      -
      
       
        g
        ¯
       
       
        (
        c
        )
       
      
     
     )
    
    ⁢
    
     
      (
      
       
        g
        k
        
         (
         c
         )
        
       
       -
       
        
         g
         ¯
        
        
         (
         c
         )
        
       
      
      )
     
     T
    
   
  
  ,
 

 
  
   
    
     
      
       Sum
       ⁢
          
       of
       ⁢
          
       variances
       ⁢
          
       within
       ⁢
          
       clusters
       : 
       
        S
        ∑
       
      
      =
      
       
        
         ∑
          
        
        
         c
         =
         1
        
        C
       
       ⁢
       
        S
        
         (
         c
         )
        
       
      
     
     ,
    
   
   
    
     (
     
      Equation
      ⁢
         
      4
     
     ), where, in Equation 4, C denotes the total number of vibration categories,, Center
       ⁢
          
       of
       ⁢
          
       all
       ⁢
          
       of
       ⁢
          
       the
       ⁢
          
       data
       : 
       
        g
        ¯
       
      
      =
      
       
        1
        
         
          
           ∑
            
          
          
           c
           =
           1
          
          C
         
         ⁢
         
          K
          c
         
        
       
       ⁢
       
        
         ∑
          
        
        
         c
         =
         1
        
        C
       
       ⁢
       
        
         ∑
          
        
        
         k
         =
         1
        
        
         K
         c
        
       
       ⁢
       
        g
        K
        
         (
         c
         )
        
       
      
     
     ,
    
   
   
    
     (
     
      Equation
      ⁢
         
      5
     
     )
    
   
  
 

 
  
   
    
     
      
       Variance
       ⁢
          
       between
       ⁢
          
       clusters
       : 
       S
      
      =
      
       
        
         ∑
          
        
        
         c
         =
         1
        
        C
       
       ⁢
       
        
         K
         c
        
        (
        
         
          g
          _
         
         -
         
          
           g
           _
          
          
           (
           c
           )
          
         
        
        )
       
       ⁢
       
        
         (
         
          
           g
           _
          
          -
          
           
            g
            _
           
           
            (
            c
            )
           
          
         
         )
        
        T
       
      
     
     ,
    
   
   
    
     (
     
      Equation
      ⁢
         
      6
     
     )
    
   
  
 

 
  
   
    
                    
     
      Matrix
      : 
      
       S
       ∑
       
        -
        1
       
      
      ⁢
      
       S
       .
      
     
    
   
   
    
     (
     
      Equation
      ⁢
         
      7
     
     )