Sentence examples for measurements data with from inspiring English sources

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)].

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.

Fig. 13 Amplitude spectrum of measurement data with the input terminal short.

Measurement data with Gaussian noise was generated from the exact power flow results.

The subject of analysis is multi-source measurement data, with each source of data corresponding to one operation mode.

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.

By eliminating the effect of interactions between different paths, r k [ i ] enables better association of the measurement data with the target maneuvering.

A modified principal component analysis (PCA) method is proposed to transform multivariate measurement data with dependent variables into those with independent principal components.

Therefore, we have measurement data with noise g ϵ ( x ) = sin x + ϵ ∗ rand , φ ϵ ( t ) = t 2 + t + 1 + ϵ ∗ rand , where ϵ = 10 − r, with r = 1, 2, 3, 4, works as the amplitude of noise.

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.

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.