Simulation Software Accelerates Development of Neural Network Control Applications in the Water Industry

Autor: Adam Adgar, Ian Fletcher

Publikováno v: Measurement + Control, Vol 34 (2001)

Artificial neural network (ANN) applications have become popular in the field of water treatment process for modelling and control purposes. This is due to the fact that the processes are not well understood and also due to the large amounts of data

Externí odkaz: https://doaj.org/article/6ed6fa7d12a648b2b780fb927ca01aa0

Micro-Reactor System for Complete Oxidation of Volatile Organic Compounds

Autor: Emmanuel Iro, Takehiko Sasaki, María José Alonso Olea, Simon Hodgson, Paul Russell, Sunday Odiba, Adam Adgar

Publikováno v: Catalysts
Volume 10
Issue 8
Catalysts, Vol 10, Iss 846, p 846 (2020)

Based on previous Computational Fluid Dynamics (CFD) design results, an 11 channel microreactor of dimensions (0.5 mm ×
0.5 mm ×
100 mm) (width ×
depth ×
length) and optimal manifold geometry was fabricated, co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b384d7a404bec87523bb5a98ec0adaad
https://doi.org/10.3390/catal10080846

Ubiquitous computing for dynamic condition-based maintenance

Autor: Aitor Arnaiz Irigaray, Eduardo Gilabert, Erkki Jantunen, Adam Adgar

Publikováno v: Irigaray, A A, Gilabert, E, Jantunen, E & Adgar, A 2009, ' Ubiquitous computing for dynamic condition-based maintenance ', Journal of Quality in Maintenance Engineering, vol. 15, no. 2, pp. 151-166 . https://doi.org/10.1108/13552510910961101

Purpose – The purpose of this paper is to describe a flexible architecture concept to provide a ubiquitous computing framework where condition‐based maintenance (CBM) data and information can be easily accessed, and maintenance decisions may be p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af80eee2e0af0e1760dbdb2c3e6e78fb
https://doi.org/10.1108/13552510910961101

Performance Improvements at Surface Water Treatment Works Using ANN-Based Automation Schemes

Autor: Chris Cox, Adam Adgar, T.J. Böhme

Publikováno v: Chemical Engineering Research and Design. 78:1026-1039

Due to their ability to capture non-linear information very efficiently, artificial neural networks [ANNs] have found great popularity amongst the ‘control community’ and other disciplines. This paper discusses some recent applications of the ANN

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::211024604ab0c9afff4948cbd560adaa
https://doi.org/10.1205/026387600528148

Cost effective water clarification control using a neurally informed control strategy

Autor: A. J. Billington, Adam Adgar, Chris Cox

Publikováno v: Neural Computing & Applications. 3:164-170

The abstraction, treatment and supply of potable (drinking) water presents a range of special problems. Early attempts at introducing and extending the range of automatic control at a water treatment plant were invariably compromised by the poor qual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8eeb337f88789692cc6234fdcd6b6a4b
https://doi.org/10.1007/bf01414078