Sentence examples for measurement data with from inspiring English sources
There are numerous benefits of using image decomposition to analyse 3D DIC measured data, including (1) representation of the raw measurement data with efficiency and succinctness; (2) determination of the FRF of any point on the specimen by the use of the full-field shape features; and (3) elimination of DIC measurement noise.
The subject of analysis is multi-source measurement data, with each source of data corresponding to one operation mode.
A modified principal component analysis (PCA) method is proposed to transform multivariate measurement data with dependent variables into those with independent principal components.
The proposed multivariate μ-EWMA chart which is based on weighting each measurement data with its current measurement variation is discussed and benchmarked with traditional control charts.
Multi-period maximum length pseudo random binary sequence (m.l.b.s). is used as the excitation signal and the transfer functions are identified from the measurement data with circular cross-correlation method.
The improvement is achieved by reducing the hysteresis in the PDM with a hysteresis compensator and identifying a linear dynamic model of the AO system from the measurement data with a closed-loop subspace identification approach.
The test results demonstrate that the proposed approach outperforms the conventional CWT, and it is applicable to the mode estimation on multi-channel filed-measurement data with less computational burden.
To obtain optimal parameter estimates (by minimizing a cost function) of nonlinear models and measurements data with statistical uncertainty descriptions, methods using global or local optimization can be considered [e.g. Moles et al. (2003)].
Both methods effectively removed signal shift after being applied on measurement data acquired with five commercial instruments of identical configuration with quartz micro balance (QMB) sensor arrays.
The Moving Total Least Squares (MTLS) method has been developed to fit for the measurement data contaminated with errors.
The proposed GAs method shows good flexibility and excellent performance in evaluating the engineering surfaces via measurement data involved with randomness and uncertainty.
