Information entropy principle-based method for fault diagnosis of switch power supply

Abstract

The invention discloses an information entropy principle-based method for fault diagnosis of a switch power supply; therefore, defects that a current diagnostic method needs more test points, a programming algorithm is complex, there are a few diagnosable fault types, and accurate positioning can not be realized can be overcome. When a fault diagnosis is carried out, a magnetic leakage signal of a switch power supply board magnetic element is obtained; a spectral entropy characteristic Hf, a time domain entropy characteristic Ht, a peak-to-peak value characteristic Vpp, a mean value characteristic a, a root mean square characteristic r, and a variance characteristic sigma of the magnetic leakage signal are extracted; and all the extracted characteristic values are compared with characteristic values in a characteristic value table that is established before the diagnosis, so that it is determined whether there is a fault on the switch power supply and what a type of the fault is. According to the invention, there is a few test points that are needed according to the method; and the fault diagnosis of the power supply can be realized only needing the magnetic leakage signal of the power supply board magnetic element. And the method is especially suitable for an occasion on which a contact type fault diagnosis can not be carried out as well as can be applied to system tests and fault diagnoses of various switch power supplies.

Description

technical field [0001] The invention belongs to the technical field of testing and relates to a fault diagnosis method, which can realize fault diagnosis of a switching power supply by extracting information entropy from key node signals of a switching power supply. Background technique [0002] Switching power supply products are widely used in industrial automation control, military equipment, scientific research equipment, LED lighting, industrial control equipment and other fields, and switching power supply is generally a high-frequency part of failure, which is of great significance for fast and convenient fault diagnosis of switching power supply. [0003] At present, there are manual methods and automatic diagnosis methods for fault diagnosis of switching power supplies. [0004] The manual method is to use a multimeter or an oscilloscope to directly measure the voltage signal of the relevant node of the switching power supply, and judge the fault state of the switch...

AI Technical Summary

Problems solved by technology

Existing diagnosis methods, the types of faults that can be diagnosed are relatively limited, the diagnosis results cannot accurately locate the fault location, and many test nodes are required, resulting in complex algorithm programming

These restrict the application of the above method

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