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GREY THEORY BASED ON LOAD CELL FAILURE PREDICTION IN A WEIGHING SYSTEM
Zhu Zijian
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Abstract:The reliability of the weighing system is becoming more and more important these years. This paper deals with a new approach to load cell soft failure prediction by the application of Grey theory. Grey theory is a theory which studies poor information and sets up a math model to simulate and predict a system behavior. Collecting the historical data of zero and sensitivity drift to set up a grey model GM (1.1) and with this model, the system can not only simulate the zero and sensitivity drifts but also calculates their possible value in the near future. Therefore, a previous action could be taken before zero and sensitivity running out of the acceptable range. This method is hoped to be able to improve the reliability of a system and have a potential future in the field of measurement.
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Keywords:Grey theory, Prediction, load cell, soft failure
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DOI:_unreg_wc-2006.TC3-013
Event details:
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IMEKO TC:
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Event name:XVIII IMEKO World Congress
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Title:
Metrology for a Sustainable Development
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Place:Rio de Janeiro, BRAZIL
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Time:17 September 2006 - 22 September 2006