Inspection by exception: A new machine learning-based approach for multistage manufacturing

Optimization of varying-parameter drilling for multi-hole parts using metaheuristic algorithm coupled with self-adaptive penalty method

(2020) Ce Han et al.   APPLIED SOFT COMPUTING

A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing

(2019) Moschos Papananias et al.   COMPUTERS IN INDUSTRY

A generative neural network model for the quality prediction of work in progress products

(2019) Guodong Wang et al.   APPLIED SOFT COMPUTING

Deep Learning for Smart Industry: Efficient Manufacture Inspection System with Fog Computing

(2018) Liangzhi Li et al.   IEEE Transactions on Industrial Informatics

Uncertainty evaluation associated with versatile automated gauging influenced by process variations through design of experiments approach

(2017) Moschos Papananias et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

A comprehensive study of linear variation propagation modeling methods for multistage machining processes

(2016) Fuyong Yang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Fault diagnosis within multistage machining processes using linear discriminant analysis: a case study in automotive industry

(2016) Aliasghar Bazdar et al.   Quality Technology and Quantitative Management

Three-dimensional variation propagation modeling for multistage turning process of rotary workpieces

(2015) Shichang Du et al.   COMPUTERS & INDUSTRIAL ENGINEERING

An intelligent neural-fuzzy model for an in-process surface roughness monitoring system in end milling operations

(2014) PoTsang B. Huang   JOURNAL OF INTELLIGENT MANUFACTURING

Application of fuzzy logic and regression analysis for modeling surface roughness in face milliing

(2012) P. Kovac et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A review of machining monitoring systems based on artificial intelligence process models

(2009) Jose Vicente Abellan-Nebot et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

In-process surface roughness prediction system using cutting vibrations in turning

(2008) D. R. Salgado et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY