Infrared image diagnosis method and infrared image diagnosis system for transformer station equipment

Abstract

The invention discloses an infrared image diagnosis method for transformer station equipment. The infrared image diagnosis method is used for diagnosing operation state of the transformer station equipment and comprises the steps of acquiring k infrared thermal image pictures of the transformer station equipment and performing dividing, extracting the infrared thermal image picture characteristic parameter of the infrared thermal image pictures as an input vector sample, constructing an SOM nerve network and performing circulated training, and defining classification of an output neuron in a mapping relationship with the input vector sample by means of the transformer station equipment operation state which corresponds with the input vector sample; acquiring the infrared thermal image picture of to-be-diagnosed transformer station equipment and performing dividing, extracting the infrared thermal image picture characteristic parameter of the infrared thermal image picture, performing self-organizing mapping by the trained SOM nerve network in a manner that the infrared thermal image picture characteristic parameter is used as the input vector, wherein the classification which comprises the output neuron in the mapping relationship with the input vector sample is judged as a diagnosis result for the transformer station equipment operation state which corresponds with the infrared thermal image picture of the to-be-diagnosed transformer station equipment.

Description

technical field [0001] The invention relates to a method and system for diagnosing the running state of substation equipment, in particular to an infrared image diagnosis method and system for substation equipment. Background technique [0002] Fault isolation of electrical equipment and sound power supply in the power supply area are extremely important in the power industry. Therefore, online monitoring and safety warnings for power equipment are required to detect faults in time and take measures to eliminate hidden dangers. As an effective means of fault detection, infrared detection technology has been widely used. The basic principle of infrared detection is to obtain the thermal state characteristics of the object by detecting the infrared radiation signal of the object, and judge the state of the object according to the thermal state characteristics and the corresponding judgment basis. Because infrared detection technology has the characteristics of long-distance, ...

AI Technical Summary

Problems solved by technology

[0003] Although infrared detection technology has many advantages mentioned above, the current detection method still requires manual diagnosis, which cannot realize real-time and accurate fault detection, which restricts the improvement of the automation level of fault diagnosis of power equipment in substations, and is not conducive to the safe and stable operation of smart grids.

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