Applied sensor fault detection and identification using hierarchical clustering and SOMNNs, with faulted-signal reconstruction

Yu Zhang; Bingham, C.; Zhijing Yang; Gallimore, M.; Stewart, P., “Applied sensor fault detection and identification using hierarchical clustering and SOMNNs, with faulted-signal reconstruction,” MECHATRONIKA, 2012 15th International Symposium , vol., no., pp.1,7, 5-7 Dec. 2012 keywords: {computerised instrumentation;fault diagnosis;neural nets;numerical analysis;pattern clustering;sensors;signal classification;signal reconstruction;SFD-I graphical interpretation;SOMNN;applied sensor fault detection;applied sensor fault identification;classification map fingerprint;dendrograms;faulted-signal […]

The humble ‘virtual chimney’ fences that could reduce the impact of airport pollution

EPSRC Press Release Issue Date: Thursday 31st January, 2013 The humble ‘virtual chimney’ fences that could reduce the impact of airport pollution Simple ‘blast’ fences called baffles could deliver improvements in air quality for people living near airports, new research has found. Placed behind a runway, the baffles could serve as a ‘virtual chimney’, funnelling […]