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Effective independence (EI) and successive reduction method based sensor optimization layout method

A technology of sensor and subtractive method, which is applied in the direction of instrumentation, calculation, electrical digital data processing, etc., can solve the problems of large amount of calculation, loss of information, low energy of selected measuring points, etc.

Inactive Publication Date: 2014-05-07
CHANGAN UNIV
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  • Summary
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  • Claims
  • Application Information

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Problems solved by technology

The effective independent method does not take into account the inhomogeneity of the structural mass distribution, and there may be situations where the energy of the selected measuring point is low and the information is lost
However, when the sequence method has many measuring points to be selected, the amount of calculation is relatively large.

Method used

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  • Effective independence (EI) and successive reduction method based sensor optimization layout method
  • Effective independence (EI) and successive reduction method based sensor optimization layout method
  • Effective independence (EI) and successive reduction method based sensor optimization layout method

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Embodiment Construction

[0038] This kind of sensor optimization layout method based on EI and step-by-step method of the present invention comprises the following steps:

[0039] 1) Obtain the modal vector matrix of the structure through finite element calculations, determine the number of monitoring mode shapes, and determine the number of sensor arrangements;

[0040] 2) Use the EI method to optimize the modal vector matrix, select initial measuring points to form an initial modal vector matrix, and the number of initial measuring points is n times the number of sensor arrangements; where n=2~7;

[0041] 3) Solve the confidence matrix MAC of the initial modal vector array, and find the maximum off-diagonal element max of the MAC matrix;

[0042] 4) After eliminating the kth degree of freedom of the initial modal vector matrix, find the [(MAC] of the modal vector matrix ij ) k Matrix, and calculate its largest off-diagonal element d; where k is a natural number;

[0043] 5) Calculate the value of...

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Abstract

The invention discloses an effective independence (EI) and successive reduction method based sensor optimization layout method and is applicable to the technical field of calculation and analysis of bridge structures. Formulas provided by the method can be directly used for calculating sensor optimization layout positions of bridges with different structure types and different calculated spans. By means of the method, second-best solutions are obtained; as can be known from a vibration theory, if the number of modalities to be identified is m, m sensors can meet requirements of parameter identification, other sensors are actually for the consideration of vibration mode visualization or vibration mode matching, and therefore, the second-best solutions can be accepted.

Description

technical field [0001] The invention belongs to the technical field of calculation and analysis of bridge structures, and relates to a sensor optimization layout method, in particular to a sensor optimization layout method based on EI and step-by-step subtraction methods. Background technique [0002] As the span and scale of bridge structures become larger and larger, health monitoring of bridge structures under operating conditions is a hot issue worthy of research. In a bridge health monitoring system, sensors are the "eyes" of the entire system. Through the sensor system, the bridge health monitoring system can monitor the structure in real time and send back data to lay the foundation for follow-up work. Sensor optimization layout is one of the key issues in designing a structural health monitoring system, and it is the first step in realizing a bridge health monitoring system, which has a crucial impact on data collection. The sensor system itself is a "contradiction...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06F19/00
Inventor 梁鹏李斌王晓光马旭明吴向男
Owner CHANGAN UNIV