Motor fault early warning method and system

Abstract

The invention provides a motor fault early warning method and system. The method comprises the following steps of respectively calculating a rotor broken bar generalization stage number, a stator winding turn-to-turn short circuit generalization stage number, a bearing outer raceway fault generalization stage number, a bearing inner raceway fault generalization stage number, a bearing rolling bodyfault generalization stage number and a bearing retainer fault generalization stage number according to three-phase voltage and three-phase signal of a motor and a preset rotor broken bar fault diagnosis model, a stator winding fault diagnosis model and a bearing fault diagnosis model; and evaluating the health state of the motor according to the generalization series. By adopting the motor faultearly warning method and system, the motor fault severity can be judged, a shutdown maintenance plan is arranged in advance, the production efficiency is improved, the equipment operation and maintenance cost is reduced, and the economic and safety benefits of enterprises are increased.

Description

technical field [0001] The invention relates to the field of electric motors, in particular to a motor fault early warning method and system. Background technique [0002] As an important auxiliary machine and power source in industrial fields such as power generation, chemical industry, shipbuilding, steel, and cement, electric motors play a very important role and value. According to statistics, 70% of the production tasks in industrial production are completed by electric motors. Once a fault occurs, if it is not handled properly or not in time, it will cause secondary faults to the transmission device connected to the electric motor, stagnate production, or even stop production on a large scale. Bring huge economic losses and safety problems, even casualties. [0003] After decades of development, motor fault diagnosis technology has gradually formed an interdisciplinary discipline integrating sensor technology, signal processing, data mining, pattern recognition, compu...

AI Technical Summary

Problems solved by technology

However, due to the mature fault diagnosis model currently on the market, because there is no equipment fault early warning module, the on-site operation and maintenance personnel can only obtain the fault information of the motor, but cannot obtain more in-depth information such as the severity of the fault. , temporarily stagnate production tasks, and bring unnecessary troubles to the production tasks of enterprises

In addition, maintenance personnel are required to have more professional skills to judge whether the failed component is available and how long it can continue to be used, which indirectly increases the professional skills requirements of the plant operation and maintenance personnel and increases the input of labor costs.

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