Unit equipment temperature abnormity detection method

Abstract

The invention relates to a unit equipment temperature abnormity detection method. The method comprises the following steps that (1) establishing a unit equipment temperature abnormal state identification model based on WCA and Shepard interpolation based on analysis of historical data of unit equipment, wherein the historical data of the unit equipment comprises temperature state monitoring data of a unit under different environmental factors and operation conditions; (2) acquiring environmental parameters, operating condition parameters and corresponding measured temperature values of the unit equipment under the current working condition, and inputting the environmental parameters and the operating condition parameters of the unit equipment under the current working condition into the unit equipment temperature abnormal state identification model to obtain a health standard value output by the model; and (3) comparing the measured temperature value of the unit equipment under the current working condition with the health standard value, and determining the temperature running state of the unit equipment under the current working condition according to a comparison result. The method can be widely applied to the field of temperature abnormity detection of unit equipment.

Description

Technical field [0001] The invention relates to a method for detecting abnormal temperature of unit equipment, in particular to a method for detecting abnormal temperature of unit equipment based on Shepard surface and water circulation algorithm. Background technique [0002] During the operation of the unit equipment, due to surface friction, heat radiation, and electrical reasons, the temperature changes of the unit components are complicated, and it is difficult to establish a mathematical model for it. In order to obtain the operating temperature status and development trend of the unit equipment in time and prevent the occurrence of unexpected accidents, it is necessary to fully study the influencing factors of temperature parameters and establish a reasonable and reliable unit equipment temperature abnormality detection model. [0003] The traditional temperature monitoring alarm value adopts a unified static alarm threshold value, which has two defects: (1) The device tempe...

AI Technical Summary

Problems solved by technology

[0003] The traditional temperature monitoring alarm value adopts a unified static alarm threshold, which has two defects: (1) The temperature value of the equipment alarms, but it is found that the ambient temperature or the high operating speed of the equipment caused the alarm.

(2) The temperature monitoring value of the equipment has not been alarmed, but the equipment was found to be seriously damaged during the overhaul

However, when applying this method, the model parameter α is usually determined manually, and the best fitting accuracy cannot be obtained.

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