A method for setting equipment safety alarm threshold based on ewma control

Abstract

The invention relates to the field of intelligent control, and aims to provide an equipment safety alarm threshold setting method based on EWMA control. The method is to use the data acquisition module to collect the vibration acceleration signal of the running equipment in real time, and store it in the historical database in the data storage module; the data processing module extracts the vibration acceleration value in the historical database, removes the abnormal value, and calculates it according to the exponentially weighted moving average. The value control chart is divided into four alarm areas to realize the setting of equipment alarm thresholds. The method of the invention can determine the alarm threshold value according to the actual operation of the specific equipment, has high timeliness and strong adaptability; has a high degree of identification of faults, can detect early signs of equipment faults in time, and effectively prolong the operation of the equipment Longevity, reduce maintenance costs, improve equipment reliability, and ensure the safety and efficiency of the entire life cycle of the equipment; it can store effective data, making the monitoring data highly credible, which is conducive to scientific decision-making and further analysis.

Description

technical field [0001] The present invention relates to the field of intelligent control, in particular to a method for setting an equipment health alarm threshold based on EWMA (Exponentially Weighted Moving Average) control. Background technique [0002] In recent years, with the advancement of science and technology and the improvement of production efficiency, the operating equipment has entered a new stage of mechanical and electrical integration, and is constantly developing in the direction of high speed and high precision, and the structure is becoming more and more complex. During the working process, the equipment will go through three stages: normal-degradation-final failure, and its availability, safety and reliability affect the production efficiency of enterprises to varying degrees. Therefore, real-time monitoring and fault alarming of the operating status of operating equipment is of great significance for enterprises to reduce maintenance costs and productio...

AI Technical Summary

Problems solved by technology

The existing equipment health alarm technology is based on the vibration standard to classify the status level, and there are problems such as the uncertainty of the division standard, and the alarm threshold has nothing to do with the actual operating status of the equipment.

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