Pre-built pre-assured components are the key to building most types of high reliability engineering systems at reasonable cost, but software engineering has not found a way to use this approach. Technologies exist for building software by connecting together pre-built components but this only addresses one part of the problem. The key additional requirement is to control the reliability of the resulting software programs. New statistical reliability models appear to offer the breakthrough required to achieve this. The proposal is to assess the theoretical and practical feasibility of using these models to provide a powerful new reliability assurance method for critical software.

In order to improve the efficiency of modern nuclear reactors, reduce operating costs and minimise nuclear waste the fuel manufacturers together with plant operators and nuclear waste agencies are trying to develop fuel assemblies, which can operate for substantially longer times than what is currently achieved. Since Uranium-enrichment technology has progressed significantly in the last two decades it is now the fuel cladding material that limits the level of energy produced from a fuel assembly (termed burn-up by the nuclear industry). Increasing the so-called burn-up of fuel assemblies will improve the fuel economy/fuel usage of civil nuclear reactors, extend refuelling cycles (i.e. reduce the number of shutdowns for refuelling the reactor), and hence reduce the operating costs and nuclear waste. In modern nuclear reactors fuel cladding is based on zirconium alloys due to their good performance in the environment of water-cooled reactors and their transparency to neutrons. The time the cladding material can operate in such an environment (and therefore the level of energy that can be produced from a fuel assembly) is proportional to the corrosion properties. Longer lasting cladding material would require zirconium alloys with a more protective oxide layer, which would avoid any accelerated corrosion, breakaway of the oxide layer and protect against hydrogen pick-up. To date, any development in this area has been purely empirical and has not resulted in the required step change, which would allow operating the fuel assemblies to the desired burn-up. The scientific basis of this application is to address these issues by studying the influence and inter-relationships of all relevant microstructural features, local stresses, electronic defects in the oxide, in both commercial and model alloys when corrosion tested in an autoclave environment. This requires the project team to use the latest generation of analytical techniques in a coherent, interdisciplinary program. In addition our industrial partners provide access to additional specialist facilities such as autoclaves or melting facilities to produce model alloys. The key theme is to develop a mechanistic understanding of the corrosion process to enable the development of physically-based models, which will enable the design and full exploitation of alloys optimized to delay breakaway oxidation and oxidation growth. The research will be undertaken by a multi-university team, encouraging PhD students and post-doctoral research associates to form a core group of researchers who work together to exploit world-class facilities from different institutions.

Before high voltage plant fails there is generally a period when degradation of the insulation system occurs, this may be a number of years. The key to improving the assessment of the equipment condition and life expectancy lies in identifying and characterising the stages of degradation. It is widely recognised that the degradation phase, irrespective of the cause, results in small sparks being generated at the site(s) of degradation. These electric sparks are generally referred to as partial discharges(PD). The characteristics of the sparks are influenced by the materials and stresses at the fault site. Improvement in their detection and characterisation will provide information on the location, nature, form and extent of degradation.The current detection process is severely compromised in practical on-site testing. These PD pulses are extremely small and hence, irrespective of the particular strategy being applied to detect them(electrical or acoustic), detection equipment must be very sensitive. In the field, this makes it prone to the influence or external interference or 'noise' from the surrounding environment and electrical/mechanical infrastructure. At best, this results in data corruption and compromises the efficiency of the condition assessment. At worst, it stops the technique from being of any use as the 'noise' signal exceeds the level of partial discharge activity.To solve the problems associated with noise a number of methods have been tried such as: screening and filtering, the application of analogue band-pass filtering, matched filters, polarity discrimination circuitry, time-windowed methods and digital filters. Each of these is, however, applicable to only certain types of noiseIn a recent study the author compared the matched filter, the traditional filter and the Discrete Wavelet Transform (DWT) in PD measurement denoising and has proven DWT provides the best solution in practical measurement when strong noise is in presence. Furthermore, DWT is the only method which allows reconstruction of the PD pulse.Having evolved from the Fourier Transform(FT), WT is particularly designed to analyse transient, irregular and non-periodic signals. Ideally, if a wavelet can be selected to match the PD pulse shape, the PD pulse could be extracted from any strong noise signals. Though the WT generates more information than the FT, it is inherently more complex than the FT and involves procedures dependent on the shape of the signals to be extracted from noisy data, the record length and the sampling rate. Dr. Zhou in the Insulation Diagnostics Group at the GCU was the first to study the optimal selection of the most appropriate wavelets, the optimal number of levels and level-dependent thresholding algorithm for automatic PD pulse extraction from electrically noisy environments using DWT. This innovative work has been proved to be effective in a number of measurement platforms. However, the application of DWT still requires significant experience at the moment when pulses of different shapes exist. The proposed research is to build on the experience and success already gained at GCU and to develop a methodology which allows the DWT to be applied to various PD measurement systems irrespective of their mechanism and bandwidth for PD data denoising and PD pulse reconstruction and classification.The outcome of the proposed research will be algorithms which can identify all types of transient pulses contained in data under analysis and present them separately in time domain. This would allow the identification and classification of various PD activities from PD measurements and production of phi-q-n diagrams which, in conjunction with pulse shapes, provides significantly improved means for plant diagnosis.

In order to improve the efficiency of modern nuclear reactors, reduce operating costs and minimise nuclear waste the fuel manufacturers together with plant operators and nuclear waste agencies are trying to develop fuel assemblies, which can operate for substantially longer times than what is currently achieved. Since Uranium-enrichment technology has progressed significantly in the last two decades it is now the fuel cladding material that limits the level of energy produced from a fuel assembly (termed burn-up by the nuclear industry). Increasing the so-called burn-up of fuel assemblies will improve the fuel economy/fuel usage of civil nuclear reactors, extend refuelling cycles (i.e. reduce the number of shutdowns for refuelling the reactor), and hence reduce the operating costs and nuclear waste. In modern nuclear reactors fuel cladding is based on zirconium alloys due to their good performance in the environment of water-cooled reactors and their transparency to neutrons. The time the cladding material can operate in such an environment (and therefore the level of energy that can be produced from a fuel assembly) is proportional to the corrosion properties. Longer lasting cladding material would require zirconium alloys with a more protective oxide layer, which would avoid any accelerated corrosion, breakaway of the oxide layer and protect against hydrogen pick-up. To date, any development in this area has been purely empirical and has not resulted in the required step change, which would allow operating the fuel assemblies to the desired burn-up. The scientific basis of this application is to address these issues by studying the influence and inter-relationships of all relevant microstructural features, local stresses, electronic defects in the oxide, in both commercial and model alloys when corrosion tested in an autoclave environment. This requires the project team to use the latest generation of analytical techniques in a coherent, interdisciplinary program. In addition our industrial partners provide access to additional specialist facilities such as autoclaves or melting facilities to produce model alloys. The key theme is to develop a mechanistic understanding of the corrosion process to enable the development of physically-based models, which will enable the design and full exploitation of alloys optimized to delay breakaway oxidation and oxidation growth. The research will be undertaken by a multi-university team, encouraging PhD students and post-doctoral research associates to form a core group of researchers who work together to exploit world-class facilities from different institutions.

In order to improve the efficiency of modern nuclear reactors, reduce operating costs and minimise nuclear waste the fuel manufacturers together with plant operators and nuclear waste agencies are trying to develop fuel assemblies, which can operate for substantially longer times than what is currently achieved. Since Uranium-enrichment technology has progressed significantly in the last two decades it is now the fuel cladding material that limits the level of energy produced from a fuel assembly (termed burn-up by the nuclear industry). Increasing the so-called burn-up of fuel assemblies will improve the fuel economy/fuel usage of civil nuclear reactors, extend refuelling cycles (i.e. reduce the number of shutdowns for refuelling the reactor), and hence reduce the operating costs and nuclear waste. In modern nuclear reactors fuel cladding is based on zirconium alloys due to their good performance in the environment of water-cooled reactors and their transparency to neutrons. The time the cladding material can operate in such an environment (and therefore the level of energy that can be produced from a fuel assembly) is proportional to the corrosion properties. Longer lasting cladding material would require zirconium alloys with a more protective oxide layer, which would avoid any accelerated corrosion, breakaway of the oxide layer and protect against hydrogen pick-up. To date, any development in this area has been purely empirical and has not resulted in the required step change, which would allow operating the fuel assemblies to the desired burn-up. The scientific basis of this application is to address these issues by studying the influence and inter-relationships of all relevant microstructural features, local stresses, electronic defects in the oxide, in both commercial and model alloys when corrosion tested in an autoclave environment. This requires the project team to use the latest generation of analytical techniques in a coherent, interdisciplinary program. In addition our industrial partners provide access to additional specialist facilities such as autoclaves or melting facilities to produce model alloys. The key theme is to develop a mechanistic understanding of the corrosion process to enable the development of physically-based models, which will enable the design and full exploitation of alloys optimized to delay breakaway oxidation and oxidation growth. The research will be undertaken by a multi-university team, encouraging PhD students and post-doctoral research associates to form a core group of researchers who work together to exploit world-class facilities from different institutions.