منابع مشابه
A neuro-fuzzy monitoring system: Application to flexible production systems
The multiple reconfiguration and the complexity of the modern production system lead to design intelligent monitoring aid systems. Accordingly, the use of neuro-fuzzy technics seems very promising. In this paper, we propose a new monitoring aid system composed by a dynamic neural network detection tool and a neuro-fuzzy diagnosis tool. Learning capabilities due to the neural structure permit us...
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The complexity of real production systems implies more difficulties to make an efficient monitoring and especially fault diagnosis. We propose a new method supporting the operator to find the cause and the origin of a fault. To obtain a diagnosis aid system that is both reactive and easy to configure, we define a set of artificial intelligence tools using neuro-fuzzy techniques. The interest of...
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Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the ...
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Healthcare is approaching a critical situation. The ageing of population is increasing the prevalence of chronic diseases. Cardiovascular and respiratory diseases not only kill hundreds of thousands of people each year around the globe but also cost billions of dollars. Patients have to make frequent visits to their doctor to get their vital signs measured. People in remote places are deprived ...
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Gestational diabetes mellitus (GDM) is a kind of diabetes that requires persistent medical care in patient self management education to prevent acute complications. One of the common and main problems in diagnosis of the diabetes is the weakness in its initial stages of the illness. This paper intends to propose an expert system in order to diagnose the risk of GDM by using FIS model. The knowl...
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ژورنال
عنوان ژورنال: Computers in Industry
سال: 2006
ISSN: 0166-3615
DOI: 10.1016/j.compind.2006.02.013