Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Transient intrinsic orthogonal decomposition method applied to coupled fault rotor-bearing system

An intrinsic orthogonal decomposition, coupled fault technology, applied in special data processing applications, instruments, geometric CAD, etc., can solve problems such as disasters, rotating machinery damage, difficult nonlinear dynamic characteristics analysis, etc.

Inactive Publication Date: 2021-09-10
NORTHWESTERN POLYTECHNICAL UNIV
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The impact of rotating machinery faults on their own dynamic behavior has always been a research hotspot. The existence of faults may affect the dynamic behavior of the structure. In severe cases, it will cause damage to the rotating machinery and have catastrophic consequences.
For the high-dimensional nonlinear dynamic characteristics of the faulty rotor system, although an accurate dynamic model can be established, it is difficult to analyze the accurate nonlinear dynamic characteristics due to its huge dimension

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
  • Transient intrinsic orthogonal decomposition method applied to coupled fault rotor-bearing system
  • Transient intrinsic orthogonal decomposition method applied to coupled fault rotor-bearing system
  • Transient intrinsic orthogonal decomposition method applied to coupled fault rotor-bearing system

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0117] 1. Analysis of dynamic characteristics of coupling fault rotor-bearing system

[0118] By comparing the coupled fault with a single fault (crack or rubbing), the nonlinear dynamic characteristics of the rotor with coupled fault are studied, and then the influence of system parameters on the coupled fault is discussed. Here the initial value is defined as:

[0119] z i = 0 (i = 1, 2, . . . , 24),

[0120]

[0121] Its overall step is π / 256.

[0122] image 3 Amplitude-frequency curves are shown for rotor systems with different speeds: fault-free system, crack fault, rubbing fault and coupling fault. 1 / 2 harmonic vibration occurs in the crack fault system and the coupling system, the frequency is 2ω c , where ω c is the natural frequency. The amplitude of the coupled system is significantly higher than that of the system with only crack faults, indicating that the rubbing will increase the response amplitude of the crack. The rubbing system is at 1000rad / s(3ω ...

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 transient intrinsic orthogonal decomposition method applied to a coupled fault rotor-bearing system. The method comprises the following steps: firstly, establishing a 24-degree-of-freedom rotor-bearing system model with cracks and rub-impact coupling faults, then providing a transient intrinsic orthogonal decomposition (TPOD) dimensionality reduction method to carry out dimensionality reduction on the rotor-bearing system model, comparing the model with a single fault rotor system, namely a crack rotor, a rub-impact rotor and a fault rotor model containing nonlinear oil film force (an original system), and analyzing the dynamic characteristics of the rotor-bearing system with the coupling fault. The dimensionality of a coupling fault simplified model after dimensionality reduction is determined by adopting a POM energy method, and the effectiveness of a TPOD dimensionality reduction method is verified by comparing bifurcation diagrams. The dimension reduction model obtained through the method can well keep the dynamic characteristics of an original model, meanwhile, the dimension reduction model can be applied to a rotor model supported by a loose sliding bearing or a ball bearing, application of the dimension reduction method in a coupling fault rotor system is popularized, and the dimension reduction efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of rotor-bearing systems, and in particular relates to a transient intrinsic orthogonal decomposition method. Background technique [0002] The impact of faults on rotating machinery on its own dynamic behavior has always been a research hotspot. The existence of faults may affect the dynamic behavior of the structure, and in severe cases, it will cause damage to the rotating machinery and have catastrophic consequences. For the high-dimensional nonlinear dynamic characteristics of the faulty rotor system, although an accurate dynamic model can be established, it is difficult to conduct accurate nonlinear dynamic characteristics analysis due to its huge dimension. Therefore, it is necessary to conduct dimension reduction research on the shaft structure model, and various dimension reduction methods can be used, such as the central manifold method, intrinsic orthogonal decomposition (POD) method, Galerkin met...

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): G06F30/17G06F30/20G06F111/10G06F119/14
CPCG06F30/17G06F30/20G06F2111/10G06F2119/14
Inventor 路宽桑瑞涓陈锦张康宇赵仕博
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products