Optimizing sensor placement for structural health monitoring based on information entropy or total modal energy

• US 10,451,416 B1
• Filed: 06/20/2016
• Issued: 10/22/2019
• Est. Priority Date: 06/20/2016
• Status: Active Grant

• Current Assignee: Bentley Systems Incorporated
• Original Assignee: Bentley Systems Incorporated
• Inventors: Wu, Zheng Yi, Zhu, Dapeng
• Primary Examiner(s): Ngon, Ricky
• Application Number:
  US15/187,268
• Time in Patent Office: 1,219 Days
• Field of Search: 702150
• CPC Class Codes: G01B 21/16 for measuring distance of clearance between spaced objects
• CPC Class Codes: G01M 5/0008 of bridges
• CPC Class Codes: G01M 7/025 Measuring arrangements

Abstract

In an example embodiment, an analysis application is used to optimize sensor placement by minimizing information entropy or maximizing total modal energy. These objectives are achieved by implementing a two-part optimization procedure, involving generating an evaluation database that stores an information matrix, and using the evaluation in conjunction with a genetic algorithm to produce an optimized sensor location set.

Claims

1. A method of optimizing sensor placement for structural health monitoring of a structure, comprising:

generating, by an analysis application executing on an electronic device, an evaluation database that stores an information matrix usable to determine information entropy or mode shape for sensor placements;

optimizing placement of a number of sensors, by the analysis application executing on the electronic device, to produce an optimized sensor location set that minimizes information entropy or maximizes total modal energy, by

determining one or more candidate sensor location sets using a genetic algorithm implemented by the analysis application,

computing performance indicators for the candidate sensor location sets by applying the candidate sensor location sets to the information matrix stored in the evaluation database, and

using the performance indicators as fitness values to search for one or more subsequent sensor location sets, until the optimized sensor location set is produced that minimizes information entropy or maximizes total modal energy; and

applying sensors at locations in the structure indicated by the optimized sensor location set that minimizes information entropy or maximizes total modal energy.

2. The method of claim 1, wherein the performance indicators are based on information entropy and the optimized sensor location set minimizes information entropy.

3. The method of claim 1, wherein the performance indicators are based on modal energy and the optimized sensor location set maximizes total modal energy.

4. The method of claim 1, wherein the information matrix is a Fisher information matrix (FIM).

5. The method of claim 4, wherein the FIM is based in part on an error covariance matrix that indicates measurement errors and model errors.

6. The method of claim 1, wherein the structure is represented by a parameterized structural model, and the generating the evaluation database is performed based on the parameterized structural model.

7. The method of claim 6, wherein the parameterized structural model is a finite element (FE) model having a plurality of elements connected at nodes and the possible sensor locations coincide with nodes of the FE model.

8. The method of claim 1, wherein the sensors comprise accelerometers.

9. The method of claim 1, further comprising:

monitoring the structure by the sensors at the locations in the structure indicated by the optimized sensor location set that minimizes information entropy or maximizes total modal energy and alerting a user if sensor readings indicate possible structural damage.

10. A system comprising:

an electronic device having;

a display screen,

one or more processors configured to execute executable instructions, and

a memory configured to store an evaluation database that includes an information matrix usable to determine information entropy or mode shape for sensor placement, and executable instructions for a plurality of software modules of an analysis application that are executable on the one or more processors, the plurality of software modules including a user interface module configured to receive a user'"'"'s selection of a number of sensors to be applied to the structure and display on the display device locations for sensors indicated by an optimized sensor location set, a sensor placement evaluation module configured to compute performance indicators of candidate sensor location sets by applying the candidate sensor location sets to the information matrix of the evaluation database, and an optimization module that utilizes a genetic algorithm to repeatedly determine the candidate sensor location sets and by employing the performance indicators as fitness values to eventually produce the optimized sensor location set that minimizes information entropy or maximizes total modal energy; and

a plurality of sensor applied at locations on the structure indicated by the optimized sensor location set that minimizes information entropy or maximizes total modal energy and which operate to monitor structural health of the structure.

11. The system of claim 10, wherein the performance indicators are based on information entropy and the optimized sensor location set minimizes information entropy.

12. The system of claim 10, wherein the performance indicators are based on modal energy and the optimized sensor location set maximizes total modal energy.

13. The system of claim 10, wherein the information matrix is a Fisher information matrix (FIM).

14. The system of claim 13, wherein the FIM is based in part on an error covariance matrix that indicates measurement errors and model errors.

15. The system of claim 10, wherein the structure is represented by a parameterized structural model, and the evaluation database is based on the parameterized structural model.

16. The system of claim 15, wherein the parameterized structural model is a finite element (FE) model having a plurality of elements connected at nodes and the possible sensor locations coincide with nodes of the FE model.

17. The system of claim 10, wherein the sensors comprise accelerometers.

18. A method of optimizing sensor placement for structural health monitoring of a structure, comprising:

selecting, in a user interface (UI) of an analysis application executing on the electronic device, a finite element (FE) model of the structure, the FE model having a plurality of elements connected at nodes, wherein possible sensor locations coincide with nodes of the FE model;

generating, by the analysis application, based on the FE model of the structure, an evaluation database that stores an information matrix usable to determine information entropy or mode shape for sensor placements;

optimizing, by an analysis application executing on an electronic device, placement of a number of sensors to produce an optimized sensor location set that minimizes information entropy or maximizes total modal energy, by

determining one or more candidate sensor location sets using a genetic algorithm of the analysis application,

computing performance indicators for the candidate sensor location sets by applying the candidate sensor location sets to the information matrix stored in the evaluation database, and

using of the performance indicators as fitness values to search for one or more subsequent sensor location sets, for a plurality of iterations and until the optimized sensor location set is produced that minimizes information entropy or maximizes total modal energy; and

applying sensors at locations in the structure indicated by the optimized sensor location set that minimizes information entropy or maximizes total modal energy.

19. The method of claim 18, wherein the performance indicators are based on information entropy and the optimized sensor location set minimizes information entropy.

20. The method of claim 18, wherein the performance indicators are based on modal energy and the optimized sensor location set maximizes total modal energy.

21. The method of claim 18, wherein the information matrix is a Fisher information matrix (FIM), and the FIM is based in part on an error covariance matrix that indicates measurement errors and model errors.

22. The method of claim 18, further comprising:

monitoring the structure by the sensors at the locations in the structure indicated by the optimized sensor location set that minimizes information entropy or maximizes total modal energy and alerting a user if sensor readings indicate possible structural damage.