... consider the production blockage and starvation times of each station to be a time series used to predict throughput bottlenecks. It is realized that the blockage and starvation times of a production line are critical indicators reflecting the production system dynamics and its internal material flow...

...’ performances as similar as possible, and ideally identical. This work is motivated by establishing a measure to evaluate the similarities between all coordinated axes. Based on the singular value decomposition (SVD) of time series, this contribution addresses an innovative approach to set up a similarity...

... of the machining process. The advantage of EMD is its ability to adaptively decompose an arbitrary complicated time series into a set of components, called intrinsic mode functions (IMFs), which has particular physical meaning. By decomposing the time series into IMFs, it is flexible to perform the Hilbert...

...S. E. Oraby; A. F. Al-Modhuf; D. R. Hayhurst In the current work it is proposed a simple, and fast softwired tool wear monitoring approach, based upon the features of the time series analysis and the Green’s Function (GF) features. The proposed technique involves the decomposition of the force...

... is then used to determine stability, steady-state surface location error, and to reconstruct the time series for a stable cutting process. Solution convergence is evaluated by simply increasing the number of elements and through comparisons with numerical integration. Analytical predictions are compared...

...Daniel W. Apley, Assistant Professor, Mem., ASME Time series control charts are popular methods for statistical process control of autocorrelated processes. In order to implement these methods, however, a time series model of the process is required. Since time series models must always...