Three-phase induction motor fault analysis method based on spiking neural P system

Abstract

The invention discloses a three-phase induction motor fault analysis method based on a spiking neural membrane system. A forward fault prediction reasoning algorithm and a reverse tracing fault diagnosis reasoning algorithm are provided based on an improved fuzzy reasoning real number spiking neural membrane system. Before the three-phase induction motor breaks down, a motor is started, fault prediction is performed on the three-phase induction motor through a forward fault prediction reasoning algorithm, so that possible faults of the three-phase induction motor can be effectively predicted; and after the three-phase induction motor breaks down, fault diagnosis is conducted on the three-phase induction motor through a reverse cause tracing fault diagnosis reasoning algorithm, and the fault cause and the fault source causing the fault can be effectively determined. The three-phase induction motor fault analysis model based on the improved fuzzy reasoning real number spiking neural membrane system is established from the perspective of the whole machine, and the defect that accurate fault causes and fault sources are difficult to find after faults occur in an existing method is effectively overcome.

Description

technical field [0001] The invention belongs to the technical field of motor fault detection and analysis, and in particular relates to the design of a three-phase induction motor fault analysis method based on a pulse nerve membrane system. Background technique [0002] Three-phase induction motor is an important part of industrial and agricultural production, and its normal operation plays a decisive role in economic benefits and safety risks. For electric motors, any potential failure that cannot be predicted or detected in time can cause damage to it, resulting in downtime and potentially huge economic losses. In addition, when the motor fails and shuts down, the primary task is to conduct fault tracing diagnosis, find out the cause of the fault, and effectively help the operation and maintenance personnel to quickly find the fault location. Therefore, fault prediction and fault tracing are of great significance to improve the working reliability and stability of electr...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the above-mentioned problems existing in the existing three-phase induction motor fault diagnosis method, and propose a three-phase induction motor fault analysis method based on the pulse nerve membrane system, in order to deal with the early fault detection and failure of the three-phase induction motor post maintenance issues

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