Tuning parameter of Kalman filter in a wheel inspection

• US 8,818,738 B2
• Filed: 08/21/2012
• Issued: 08/26/2014
• Est. Priority Date: 01/30/2011
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Duan, Ning, Hu, Ke, Jiang, Zhong Bo, Mo, Wen Ting, Sun, Wei, Zhang, Xin
• Primary Examiner(s): Algahaim, Helal A
• Assistant Examiner(s): CASTRO, PAUL A
• Application Number:
  US13/590,788
• Publication Number:
  US 20120316727A1
• Time in Patent Office: 735 Days
• Field of Search: None
• US Class Current: 702/34
• CPC Class Codes: G01M 17/013 Wheels

Abstract

An apparatus for tuning a parameter of a Kalman filter in a wheel inspection for a vehicle is disclosed. The apparatus includes an association module that associates wheel inspection data of the vehicle with locations of corresponding wheels in the vehicle; an evaluation module that evaluates a wheel stable score of the vehicle based on the wheel inspection data and the association, where the wheel stable score indicates reliability of the wheel inspection; and a parameter tuning module that tunes a measurement error covariance of the Kalman filter according to the evaluated wheel stable score.

Claims

1. An apparatus for tuning a parameter of a Kalman filter in a wheel inspection for a vehicle, comprising:

an association module that associates wheel inspection data of said vehicle with locations of corresponding wheels in said vehicle;

an evaluation module that evaluates a wheel stable score of said vehicle based on said wheel inspection data and said association, wherein said wheel stable score indicates reliability of the wheel inspection, the wheel stable score calculated according to a wheel diameter differential of left and right wheels coupled to a common axis; and

a parameter tuning module that dynamically tunes a measurement error covariance (R) of said Kalman filter according to said evaluated wheel stable score.

2. The apparatus according to claim 1, wherein said association module comprises:

a wheel identification unit that identifies the locations of the corresponding wheels in said vehicle;

a location determination unit that determines the location in said vehicle for at least one of an axle, a bogie and a car where said wheel is located; and

an association establishment unit that establishes an association among said wheel inspection data, the locations of said wheels and the location of said at least one of said axle, said bogie and said car where said wheel is located.

3. The apparatus according to claim 2, wherein said evaluation module comprises:

an axle/bogie/car stable score calculation unit that calculates at least one of an axle stable score, a bogie stable score and a car stable score of said wheels based on the association among said wheel inspection data, the locations of said wheels and the location of said at least one of said axle, said bogie and said car where said wheel is located; and

a wheel stable score calculation unit that calculates said wheel stable score based on the at least one of said axle stable score, said bogie stable score and said car stable score.

4. The apparatus according to claim 3, wherein said axle/bogie/car stable score calculation unit comprises:

a wheel inspection data difference calculation unit that calculates an average value of coaxial wheel inspectional data differences between the left and right wheels in respective same axles;

a wheel inspection data difference deviation score calculation unit that calculates a current coaxial wheel inspection data difference deviation score based on the average value of the coaxial wheel inspectional data differences and a mean value and a variance value of a predetermined normal distribution of coaxial wheel inspection data differences; and

a stable score determination unit that determines the axle stable score of said wheels according to said current coaxial wheel inspectional data difference deviation score.

5. The apparatus according to claim 3, wherein said axle/bogie/car stable score calculation unit comprises:

a wheel inspection data difference calculation unit that calculates, for each bogie, a wheel inspection data difference between the left wheels in said bogie and a wheel inspection data difference between the right wheels in said bogie as a co-bogie wheel inspection data difference, and calculates an average value of said co-bogie wheel inspection data differences;

a wheel inspection data difference deviation score calculation unit that calculates a current co-bogie wheel inspection data difference deviation score based on said average value of said co-bogie wheel inspection data differences and a mean value and a variance value of a predetermined normal distribution of co-bogie wheel inspection data differences; and

a stable score determination unit that determines the bogie stable score of said wheels according to the current co-bogie wheel inspection data difference deviation score.

6. The apparatus of claim 3, wherein said axle/bogie/car stable score calculation unit comprises:

a wheel inspection data difference calculation unit that calculates average values of said wheel inspection data of the left and right wheels in the respective bogies in the same car, and calculates wheel inspection data differences between said bogies as co-car wheel inspection data differences, and calculates an average value of said co-car wheel inspection data differences;

a wheel inspection data difference deviation score calculation unit that calculates a current co-car wheel inspection data difference deviation score based on said average value of said co-car wheel inspection data difference and a mean value and a variance value of a predetermined normal distribution of co-car wheel inspection data differences; and

a stable score determination unit that determines the car stable score of the wheels according to said current co-car wheel inspection data difference deviation score.

7. The apparatus according to claim 3, wherein said wheel stable score is calculated as a weight sum of said axle stable score, said bogie stable score and said car stable score, wherein each of the weights of said axle stable score, said bogie stable score and said car stable score is within a range of 0 to 1, and the sum of said weights is equal to 1.

8. The apparatus according to claim 1, wherein said parameter tuning module comprises:

a comparison unit that compares said wheel stable score with a predetermined stable threshold; and

a tuning unit that tunes said measurement error covariance provided that said wheel stable score is not less than said stable threshold.

9. The apparatus of claim 8, wherein said parameter tuning module further comprises:

a determination unit that determines, provided that said wheel stable score is not less than said stable threshold, whether the number of times of consecutive occurrences when said wheel stable score is not less than the stable threshold exceeds a predetermined value;

wherein, provided that the number of times of the consecutive occurrences exceeds said predetermined value, said tuning unit is configured to tune said measurement error covariance.

10. The apparatus according to claim 9, wherein said tuning unit tunes said measurement error covariance according to the following formula:

R=A(ƒ

(StableIndex)−

ƒ

(StableIndex_threshold))+R₀.

11. A wheel inspection system for a vehicle, comprising:

a plurality of sensors that measure parameters of wheels of the vehicle;

an apparatus for tuning a parameter of a Kalman filter in a wheel inspection for a vehicle, comprising;

an association module that associates wheel inspection data of said vehicles with locations of corresponding wheels in said vehicle;

an evaluation module that evaluates a wheel stable score of said vehicle based on said wheel inspection data and said association, wherein said wheel stable score indicates reliability of the wheel inspection, the wheel stable score calculated according to a wheel diameter differential of left and right wheels coupled to a common axis; and

a parameter tuning module that dynamically tunes a measurement error covariance (R) of said Kalman filter according to said evaluated wheel stable score; and

a Kalman filter that detects statuses of said wheels according to the measured parameters of the wheels.