Sentence examples for novel identification methods from inspiring English sources

To enlarge cutting database for the optimization of cutting process, utilizing the abundant real-time process monitoring data is a possible choice, in which novel identification methods are needed.

Attached with unimpeachable significance, the traditional and some novel identification methods of cutting force coefficient are still faced with trouble, including repeated onerous work, over ideal measuring condition, variation of value due to material divergence, interference from measuring units.

Therefore, there is a stringent need for the implementation of novel identification methods.

In this paper, we propose a novel identification method for nonlinear discrete dynamic systems.

This paper presents a novel identification method of conducted EMI noise using independent component analysis (ICA) and signal statistics for underground power electronic systems.

Then, on the foundation of modeling, a novel identification method is developed, in which the dynamic undeformed chip thickness could be obtained by using collected data.

A novel identification method based on correlation analysis to extract frequency components has been developed which can be applied to general nonlinear aeroelastic systems to obtain accurately the required Volterra transfer functions.

In the present study, we focused on Lactobacillus levels in vaginal secretions and developed a novel identification method for vaginal secretions by relative quantification based on real time PCR.

To utilize the large amount of data from real manufacturing section, enlarge data sources and enrich cutting data base for former prediction task, a novel identification method is proposed by considering stiffness properties of the cutter-holder-spindle system in this paper.

A novel identification method for identifying transcription start sites that improves the accuracy of TSS recognition for recently published methods is proposed.

The authors have proposed a novel fault identification method using correlation coefficient (CC) and Hurst exponent to depict the actual fault mode from the decomposed signals.