SPC (Statistical Process Control) based motor temperature monitoring method

Abstract

The invention provides an SPC based motor temperature monitoring method. According to the method, an EWMA control chart model is established to monitor the motor temperature. Stable-state and unstable-state data of a motor within a period is collected and input to the model to calculate parameters in the EWMA control chart model, and process data of the motor is input to the EWMA control chart model to monitor temperature process data of the motor and further to identify and monitor temperature process drift of the motor. According to the invention, statistical theories are used, interference of random factors is eliminated, and the temperature process data of the motor is monitored and identified scientifically; due to the fact that the control chart is more sensitive to a process drift condition, a temperature drift phenomenon (namely, temperature rise) of the motor can be identified rapidly and accurately; and further, alarm prompt is provided, corresponding inspection are made, primary and secondary alarming against the motor temperature can be realized in a more reasonable manner, and motor temperature protection is more accurate, rapid and scientific.

Description

technical field [0001] The invention belongs to the field of motor temperature control, and in particular relates to a motor temperature monitoring method based on statistical process control. Background technique [0002] Due to the thermal effect of the current, the motor will inevitably generate heat during operation, resulting in an increase in temperature. Under normal working conditions, the motor temperature will be within the allowable range. However, in some cases, when the temperature suddenly increases or exceeds the maximum operating temperature, it is an important signal of abnormal operation and failure of the motor. Therefore, it is of great significance for the safe, reliable and stable operation of the motor and the production system to correctly analyze the temperature rise or exceed the limit of the motor and deal with the abnormal or faulty motor in time. Most of the existing motor temperature monitoring and protection adopts the embedded thermal resist...

AI Technical Summary

Problems solved by technology

Therefore, considering the accuracy of the instrument and some random factors, the signal may appear random changes such as distortion, fluctuation, and noise

Due to the existence of these random disturbance factors, some conventional process data methods may not be able to avoid false data identification due to random factors

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