Unlock instant, AI-driven research and patent intelligence for your innovation.

Microwave assembly fault diagnosis method, device and equipment

A microwave component and fault diagnosis technology, which is applied in neural learning methods, physical implementation, biological neural network models, etc., can solve the problems of the flow lag of the tested part and the low efficiency of microwave component fault diagnosis, and achieve good robustness and fault tolerance performance, improving adaptability and stability

Pending Publication Date: 2020-06-19
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above technical problems, the present invention provides a microwave component fault diagnosis method, device and equipment, which solves the problems of low microwave component fault diagnosis efficiency and delayed circulation of the tested parts in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Microwave assembly fault diagnosis method, device and equipment
  • Microwave assembly fault diagnosis method, device and equipment
  • Microwave assembly fault diagnosis method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0065] Such as figure 1 As shown, the embodiment of the present invention provides a microwave component fault diagnosis method, including:

[0066] Step 11. Acquiring the fault characteristic quantity of the microwave component, the fault characteristic quantity includes the fault phenomenon characteristic quantity and the fault cause characteristic quantity;

[0067] In this embodiment, the existing fault case data is used as a training set ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a microwave assembly fault diagnosis method, device and equipment, and the method comprises the steps: obtaining the fault feature quantity of a microwave assembly, and the fault feature quantity comprises a fault phenomenon feature quantity and a fault reason feature quantity; establishing a back propagation BP neural network model according to the fault characteristic quantity; training the BP neural network model; and using the trained BP neural network model to diagnose fault information to be diagnosed. According to the embodiment of the invention, the fault characteristic quantity is extracted from the historical fault case information, so that the whole model has good robustness and fault tolerance, and the adaptability and stability of the model are improved; according to the method, the BP neural network is utilized to highly fit the nonlinear capability, and the coupling relationship between the fault information and the fault cause in the microwave assembly fault diagnosis problem is solved, so that the newly generated fault is quickly positioned to the cause, and the intelligent diagnosis of the microwave assembly fault oriented to the automatictest unit is realized.

Description

technical field [0001] The invention relates to the field of fault diagnosis, in particular to a microwave component fault diagnosis method, device and equipment. Background technique [0002] Fault diagnosis technology is a technology that detects abnormal conditions of the equipment by monitoring the status parameters of the equipment, and analyzes and diagnoses the causes of the faults after the abnormal conditions are found. To achieve the purpose of preventing product quality accidents before they happen. At present, fault diagnosis technology has developed into an independent interdisciplinary comprehensive information processing technology, which is a hot research direction in the field of control. [0003] In recent years, BP (Back Propagation, backpropagation) neural network is a very widely used reasoning model. Its theoretical development has been very mature, and many breakthroughs have been made, which have attracted great attention and great attention from do...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/063G06N3/08
CPCG06N3/084G06N3/065
Inventor 王爱民高昆葛艳
Owner BEIJING INSTITUTE OF TECHNOLOGYGY