Papers by Keyword: Sensors Fusion

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Authors: Olga Korostynska, Alex Mason, Ahmed Al-Shamma'a
Abstract: At present, water quality control is still dominated by laboratory analysis of grab samples. Sensors are only available for a very limited number of parameters and frequently do not entirely meet the needs of the users. Even a brief overview of the state-of-the-art in the real time water monitoring reveals that it is not possible to achieve adequate detection of water parameters by using only one type of sensor. Accordingly, the solution is to merge various technologies into a single system that would employ the best available methods for the detection of specific water contaminants, so as to provide overall superior sensitivity, selectivity and long-term stability, while enabling real-time wireless data collection for enhanced cost-effectiveness. Namely, multi-sensor platforms that utilise the best available methods combined into a single monitoring process are seen as the only way to achieve the holistic monitoring capabilities. It is suggested that a special role in this development is reserved for microwave technology based sensors a missing piece in the puzzle to potentially solve the issue of real-time water quality control. This paper reviews the capabilities of microwave sensors for real-time water quality monitoring as compared to other alternative methods, namely standard UV-VIS optical methods; fibre optic sensors; amperometric sensors, biosensors, specifically-sensitive microelectrodes and lab-on-chip sensing systems.
Authors: Jacek S. Stecki, Shanna Rudov-Clark, Chris Stecki
Abstract: Aircraft and avionics, offshore, marine and other complex engineering systems often operate in harsh environmental and operational conditions and must meet stringent requirements of cost, reliability, safety and maintainability. To achieve these aims modern design management and a vast array of computer aided techniques are applied during the design and testing stages. Maintainability requirements, long ignored by designers and manufacturers, assumed great importance and forced rethinking of the way the design of new systems and their maintenance should be carried out. One of the technologies to deal with this problem is Condition Based Maintenance (CBM) which is used widely in various industries to reduce risk and improve system availability. CBM is based on detection and diagnosis of failures, assessing effects of such failures on life of the system health and prescribing maintenance actions to extend system life. However, the experience with CBM shows that high expectation of reduced costs, improve maintainability etc. are often not met, and the major reasons for it are problems with risk identification (what failures can be expected?) and detection (what sensors to select?). The paper reviews these problems and other barriers to effectiveness of CBM and presents model-based approach to risk identification which can lead to improved CBM.
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