Abstract: A real-time vector analysis method for detecting an optical signal with a bandwidth greater than 1 THz includes: mapping, by a time-lens focusing system, a spectrum of a signal under test to different temporal location information; obtaining, by fully broadening an ultrashort pulse by a dispersion, a time domain spectrum of the ultrashort pulse to form a chirped swept frequency source; inputting an out of the signal under test after passing through the time-lens and the chirped swept frequency source to a coherent receiver to realize an interference process and a conversion of an optical signal to an electrical signal, and recovering an intensity information and a phase information of frequency domain of the signal under test from the electrical signal by data acquisition and processing; then recovering a full-field information of time domain of the signal under test by a Fourier inverse transform.

Abstract: A scalable digital fleet management system may be leveraged by organizations with high-volume high-value assets. In such scenarios, predictive analytics for tool health enables decision-making in terms of planning, maintenance, end-of-life replacement, tool selection, etc. An end-to-end solution spans all the way from gathering live tool data to visual representations of tool health. Long-term fleet management can be accomplished through a consistent evaluation of the fleet performance profile. Predictive analysis can anticipate maintenance needs and resultant downtimes and help improve scheduling of procurement and distribution of the fleet. Framework deployment focuses on topics related to developing an end-to-end solution architecture, scaling, and deploying it on demand, and maintaining it going forward.