Paper

Analysis of Equipment Fault Prediction Based on the Metabolism Combined Model

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Authors:

Chunmao Ma; Yanjun Shao; Ruilin Ma

Abstract

Aiming at the difficulty of equipment fault prediction, by the combination of the validity principles and based on the grey model GM (1, 1) and linear regression model (LRM), a new combined model was established. The model was fitted by two models. It used the original data coming from constant duration measurement to simulate and predict when the system reaches the upper limit of failure data, and according to this to infer the system failure time. At the same time, the metabolism method was introduced to improve the prediction accuracy. At last, an example that output voltage of a certain type of radar transmitter data was given to verify the effectiveness and practicality of the model in failure predication.

Keywords

Analysis; Equipment Fault Prediction; Metabolism Combined Model

StartPage

58

EndPage

62

Doi

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