Nonlinear fault prediction method for electromechanical equipment

A technology for electromechanical equipment and fault prediction, applied in design optimization/simulation, instrumentation, data processing applications, etc., can solve problems such as poor accuracy of nonlinear fault detection methods, achieve reduced operation and maintenance costs, reasonable design, and stable security running effect

Pending Publication Date: 2020-06-12
南京亚派软件技术有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing non-linear fault prediction methods for electromechanical equipment lack the verification and verification of the prediction results in the actual application process, resulting in poor accuracy of non-linear fault detection methods for electromechanical equipment and certain defects.

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
  • Nonlinear fault prediction method for electromechanical equipment
  • Nonlinear fault prediction method for electromechanical equipment
  • Nonlinear fault prediction method for electromechanical equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] see figure 1 As shown, this embodiment is a method for predicting nonlinear faults of electromechanical equipment, including the following steps:

[0026] S100. Model construction: constructing a BIM model of building electromechanical equipment;

[0027] S200. Information detection: real-time monitoring of important building electromechanical equipment, and dynamic collection of monitoring data. The important electromechanical equipment includes central an...

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 nonlinear fault prediction method for electromechanical equipment. The nonlinear fault prediction method comprises the following steps: S100, model construction: constructinga BIM model of the electromechanical equipment of a building; s200, information detection: monitoring the important building electromechanical equipment in real time, and dynamically collecting monitoring data; s300, performing model bonding: constructing a building electromechanical equipment prediction model based on a bonding graph theory, and constructing a nonlinear machine equipment experiment platform to verify the constructed bonding graph model; s400, fault prediction; according to the method, the design is reasonable, the faults of the building electromechanical equipment can be accurately predicted, the sudden faults of the building electromechanical equipment can be reduced, the stable operation of the large-scale public building can be guaranteed, and the operation and maintenance cost can be reduced.

Description

technical field [0001] The invention relates to the technical field of fault prediction, in particular to a nonlinear fault prediction method for electromechanical equipment. Background technique [0002] With the further improvement of the safety and reliability requirements of the electromechanical system, it is necessary to diagnose the system in time after the failure occurs, and to predict the failure after the system has a slight failure symptom. Fault prediction is to monitor and track the fault evolution process of the system, so as to predict the remaining working time of the faulty component. Effective prediction is beneficial to reduce the maintenance cost of electromechanical equipment and components, and is of great significance to prolong the service life of the system. [0003] However, the existing nonlinear fault prediction methods for electromechanical equipment lack the verification and verification of the prediction results in the actual application proc...

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): G06Q10/06G06Q10/00G06Q50/06G06F30/20
CPCG06Q10/0635G06Q10/20G06Q50/06
Inventor 陈斐斐
Owner 南京亚派软件技术有限公司
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