Development of a Novel Methodology for Remaining Useful Life Prediction of Industrial Slurry Pumps in the Absence of Run to Failure Data.

Smart remaining useful life (RUL) prognosis methods for condition-based maintenance (CBM) of engineering equipment are getting high popularity nowadays. Current RUL prediction models in the literature are developed with an ideal database, i.e.

Discover Patent Landscape of Two-photon Polymerization Technology for the Production of 3D Nano-structure Using Claim-based Approach.

Background: The TPP technology is a "nano-optics" 3D printing technology that develops in recent years. Compared with the traditional 3D printing technology, the TPP-3DP technique that takes near-infrared light femtosecond pulse laser as the light source can break through the limitation of optical diffraction and manufacture nanoscale 3D structures in arbitrary shapes with high resolution.

Method: The research develops a claim-based patent analysis method to identify technical features via the analysis of claim, especially the analysis of plural elements of independent claim.

Patent Review on Laser Interference Lithography Technique for Producing Periodic Nanostructure.

Background: Because line width has been close to atom size, for semiconductor industry, except for achieving the target of line width, the cost will be more important. The mask-less laser interference lithography (LIL) technique lowers the cost makes it standing out in the market of lithographic equipment of the excessive cost in the semiconductor industry.

Method: The Keywords of patent retrieval with the theme of LIL are based on the technical features of both the conditions of producing interference lithography and different types of experimental configuration of LIL.

A fuzzy ontological knowledge document clustering methodology.

This correspondence presents a novel hierarchical clustering approach for knowledge document self-organization, particularly for patent analysis. Current keyword-based methodologies for document content management tend to be inconsistent and ineffective when partial meanings of the technical content are used for cluster analysis. Thus, a new methodology to automatically interpret and cluster knowledge documents using an ontology schema is presented.