An alternative evaluation of FMEA: Fuzzy ART algorithm

GA Keskin, C Özkan - QUality and reliability engineering …, 2009 - Wiley Online Library
Abstract Failure Mode and Effects Analysis (FMEA) is a technique used in the manufacturing
industry to improve production quality and productivity. It is a method that evaluates possible …

A modified k-means algorithm for circular invariant clustering

D Charalampidis - IEEE transactions on pattern analysis and …, 2005 - ieeexplore.ieee.org
Several important pattern recognition applications are based on feature vector extraction
and vector clustering. Directional patterns are commonly represented by rotation-variant …

[图书][B] Towards a unified modeling and knowledge-representation based on lattice theory: computational intelligence and soft computing applications

VG Kaburlasos - 2007 - books.google.com
By 'model'we mean a mathematical description of a world aspect. With the proliferation of
computers a variety of modeling paradigms emerged under computational intelligence and …

Manufacturing quality control by means of a Fuzzy ART network trained on natural process data

M Pacella, Q Semeraro, A Anglani - Engineering Applications of Artificial …, 2004 - Elsevier
In order to produce products with constant quality, manufacturing systems need to be
monitored for any unnatural deviations in the state of the process. Control charts have an …

Trusted interconnections between a centralized controller and commercial building HVAC systems for reliable demand response

CB Jones, C Carter - Ieee Access, 2017 - ieeexplore.ieee.org
Dynamic smart grid operations require that utilities that incorporate intermittent renewable
energy resources provide creative and inclusive solutions to reduce and shift electrical …

A comparison study of distribution‐free multivariate SPC methods for multimode data

M Grasso, BM Colosimo, Q Semeraro… - Quality and Reliability …, 2015 - Wiley Online Library
The data‐rich environments of industrial applications lead to large amounts of correlated
quality characteristics that are monitored using Multivariate Statistical Process Control …

Monitoring roundness profiles based on an unsupervised neural network algorithm

M Pacella, Q Semeraro - Computers & Industrial Engineering, 2011 - Elsevier
In modern manufacturing, approaches for profile monitoring can be adopted to detect
unnatural behaviors of production processes, ie to signal when the relationship used to …

Adaptive resonance theory-based neural algorithms for manufacturing process quality control

M Pacella*, Q Semeraro, A Anglani - International Journal of …, 2004 - Taylor & Francis
The demand for quality products in industry is continuously increasing. To produce products
with consistent quality, manufacturing systems need to be closely monitored for any …

Cross-validation in Fuzzy ARTMAP for large databases

A Koufakou, M Georgiopoulos, G Anagnostopoulos… - Neural Networks, 2001 - Elsevier
In this paper we are examining the issue of overtraining in Fuzzy ARTMAP. Over-training in
Fuzzy ARTMAP manifests itself in two different ways:(a) it degrades the generalization …

A two-stage fuzzy approach to feature-based design retrieval

CY Tsai, CA Chang - Computers in Industry, 2005 - Elsevier
In the conceptual design stage, designers usually begin the design process by referencing
previous design cases similar to the one they are currently working on. Reviewing similar …