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- W2036728618 abstract "The field of fault diagnosis (FD) is undergoing rapid change in the methodologies it employs, and the vast array of materials/components/structures where it is applied. The field has grown steadily because of (a) the importance attached to fail-safe mechanisms; (b) ability to detect impending failure so that preventive and corrective action can be taken and (c) the opportunities opened up by automating the diagnosis process itself. FD as a tool has to draw knowledge and expertise from a variety of scientific fields and apply multi-disciplined knowledge to empirical domains in order to achieve its objectives. Application and use of automated FD concepts to empirical domains do not require merely crisp rules, but largely, a flexible and natural framework where “experience” often determines the success or failure of diagnosis. In this paper, we describe a flexible framework, which incorporates the ideas and tools of soft computing in its methods and approach." @default.
- W2036728618 created "2016-06-24" @default.
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- W2036728618 date "2000-08-01" @default.
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- W2036728618 title "A soft-computing framework for fault diagnosis" @default.
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- W2036728618 doi "https://doi.org/10.1016/s0020-0255(00)00032-3" @default.
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