Active fault diagnosis method

A fault diagnosis and active technology, applied in the direction of instruments, electrical testing/monitoring, control/regulation systems, etc., can solve problems such as limited uncertainty, limited energy, unfavorable practical applications, etc., and achieve good application prospects

Active Publication Date: 2019-12-20
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The first case is based on the uncertainty of the system being energy finite
The second assumes that the uncertainty of the system is limited by the set
This method can only achieve set separation at the time of infi

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
  • Active fault diagnosis method
  • Active fault diagnosis method
  • Active fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Embodiments of the present invention will be described in detail below. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0022] In addition to adopting different sets, the present invention adopts different ideas from traditional methods to realize AFD. Traditional set-based methods regard the separation of output sets or state sets as the basis for achieving AFD. Whereas in stochastic AFD, the input signal is designed based on the lowest probability of making a wrong decision. The present invention proposes a new method whose aim is to maximize the distance between the output prediction sets represented by the invariant set, while the hallmark of completing AFD is the separation of the output sets. Thus, the present invention provides a new idea to realize AFD, and at the same time, in the objective function of the optimization problem, smoothness is introduced to maxi...

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 present invention discloses an active fault diagnosis method. The method comprises the following steps: S1 aiming at a linear discrete time-invariant system (LDIT) with multiple faults, obtainingan invariant set representation form of an output estimation set; S2 transferring the output estimation set obtained from step S1 into the equivalent form of a polyhedral set via set form change; S3 realizing set separation by maximizing the distance among output estimation sets represented by invariant set(s), and thus obtaining an input sequence capable of realizing the active fault diagnosis (AFD) and realizing the control objective(s) of the system. The input sequence obtained by the method is capable of achieving the AFD objectives in a limited time and has the potential of applying in the control objective(s), and thus the method has a good application prospect.

Description

technical field [0001] The present invention relates to fault diagnosis (FD, Fault Diagnosis), in particular to an active fault diagnosis method (AFD, Active Fault Diagnosis). Background technique [0002] Fault diagnosis (FD) is an important guarantee of system safety and reliability in actual complex systems. Generally, FD consists of three tasks: fault detection, fault isolation and fault identification. Model-based FD methods are mainly divided into two categories: passive methods and active methods. Passive Fault Diagnosis (PFD) determines the operating state of the system by detecting the system's input signals, state variables, and output information. This means that even if the optimal PFD is designed, the FD task cannot be accomplished when the relevant information of the system is insufficient. Compared with the former, Active Fault Diagnosis (AFD) has little effect on the actual system operation. Typically, proactive methods involve injecting signals into the ...

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
IPC IPC(8): G05B23/02
CPCG05B23/0221G05B2219/24065
Inventor 王学谦杨松林梁斌徐峰
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap