We run Remote Monitoring and Sensing (RMS) and Sensor Validation projects with Siemens Industrial Turbomachinery as part of our remit as Preferred University Partner. The Remote Monitoring and Sensing project is a rolling work-programme which focuses on the research, development and application of data-analysis tools for the on-line determination of a wide-range of unit failure […]
Gas Turbine Sensor Validation
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 […]
PESRI and Power and Energy with Siemens
A New Approach… The first purpose-built School of Engineering to be created in the UK for more than 20 years. The development is a collaboration between the University and Siemens Industrial Turbomachinery Ltd. as part of a £37M development with support from HEFCE, part funded by the European Regional Development Fund (ERDF) and part funded […]