Jay Lee

TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.

TL;DR: This paper addresses the trends of manufacturing service transformation in big data environment, as well as the readiness of smart predictive informatics tools to manage big data, thereby achieving transparency and productivity.

TL;DR: A comprehensive review of the PHM field is provided, followed by an introduction of a systematic PHM design methodology, 5S methodology, for converting data to prognostics information, to enable rapid customization and integration of PHM systems for diverse applications.

TL;DR: In this paper, the performance of wavelet decomposition-based de-noising and wavelet filter based denoising methods are compared based on signals from mechanical defects, and the comparison result reveals that wavelet filters are more suitable and reliable to detect a weak signature of mechanical impulse-like defect signals, whereas the wavelet transform has a better performance on smooth signal detection.

TL;DR: The globalization of the world’s economies is a major challenge to local industry and it is pushing the manufacturing sector to its next transformation -predictive manufacturing as discussed by the authors, and manufacturers need to embrace emerging technologies such as advanced analytics and cyber-physical system-based approaches, to improve their efficiency and productivity.