An effective sensor network with an appropriate sensor configuration is the first step of
model updating to obtain the actual structural response. However, sensor placements based …

The singular value decomposition (SVD) is a crucial method with successful practical
applications. However, the quantification of uncertainties in SVD perturbation is challenging …

Vibration has been and still is a persistent problem to negate the transmission accuracy and
service life of rotate vector (RV) reducer, and vibration analysis remains a challenge in …

This paper presents an optimal sensor placement approach for the uncertain inverse
problem of structural parameter estimation, aiming to mitigate the ill-posedness problem that …

A novel two-part gear tribodynamic model considering tooth profile modification (TPM) is
established. One part is a coupling model of gear dynamics and elastohydrodynamic …

Gear drives are inherently subjected to time-variant loads, which always create an
uncertainty and may degrade the vibration performance and system reliability. However, due …

In engineering practice, uncertainty and correlation may coexist in both input parameters
and output responses of the powertrain mounting system (PMS) of a vehicle. A methodology …

Non-probabilistic convex models are powerful tools for structural model updating with
uncertain‑but-bounded parameters. However, existing non-probabilistic model updating …

This paper presents a novel dynamic model updating procedure to efficiently update the
intervals and non-probabilistic correlation coefficients matrix (NPCCM) of modal parameters …

In the field of damage identification, traditional regularization methods neglect the impact of
uncertainty factors on the selection of regularization parameters, leading to a decrease in …