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Optimal sensor placement method for system equivalent model mixing using correction forces
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DOI：10.1016/j.ymssp.2025.113150.png)
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Abstract
En 中文
• A correction force-based SEMM method is proposed to apply optimal sensor placement. • Optimal sensor locations were pre-selected using numerical models. • The theory was validated through experiments on a vehicle suspension subframe. • Sensor sets with higher Fisher information matrix determinants yielded higher accuracy. • The optimal sensor set has maximum singular values, achieving high accuracy without the need for TSVD.
Keywords:
sensor placement
Fisher information matrix
singular value decomposition
optimal accuracy
correction force-based SEMM
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