GREY THEORY BASED ON LOAD CELL FAILURE PREDICTION IN A WEIGHING SYSTEM

Zhu Zijian

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.

Keywords

Grey theory, Prediction, load cell, soft failure

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PWC-2006-TC3-013u.pdf

DOI

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IMEKO TC

TC3 - Measurement of Force, Mass, Torque, and Gravity

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